Update translations from SlicerLanguageTranslations

Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_en.json

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+{
+  "0_TextBox_0": "Slicer Welcome",
+  "0_TextBox_1": "Sonia Pujol, Ph.D.",
+  "0_TextBox_2": "28/08/2024",
+  "0_TextBox_3": null,
+  "1_Goal_title": "Goal",
+  "1_Goal_body": "This tutorial is a short introduction to the Welcome module of the Slicer open-source software. ",
+  "2_3DSlicerversion48_title": "3D Slicer version 4.8",
+  "3_WelcometoSlicer_title": "Welcome to Slicer",
+  "3_TextBox_0": "Each\tmodule\tof\tSlicer\t\nincludes\ta\tseries\tof\ttabs,\t\nwhich\tgive\taccess\t\ndifferent\tfunctionalities.\n\nClick\ton\tthe\tarrow\t\nsymbol\tto\tdisplay\tthe\t\ncontent\tof\teach\ttab.\t",
+  "4_SlicerUserInterface_title": "Slicer User Interface",
+  "4_TextBox_1": "User\tInterface\t\n(UI)\tpanel\tof\tthe\t\nSlicer\tWelcome\t\nModule\t",
+  "4_ArrowText_2": "Toolbar",
+  "4_TextBox_3": "3D viewer",
+  "4_ArrowText_4": "2D anatomical viewers",
+  "4_ArrowText_5": "Data probe",
+  "5_WelcomeModule_title": "Welcome Module",
+  "6_WelcomeModule_title": "Welcome Module",
+  "9_WelcomeModule_title": "Welcome Module",
+  "5_TextBox_0": "The\tDocumentation &\tTutorials\t\ntab\tcontains\tlinks\tto\tthe\ttraining\t\ncompendium\tand\tdocumentation  pages\tof\t3D\tSlicer\tversion\t4.8.\t",
+  "6_TextBox_0": "The\tWelcome\tmodule\tpanel\tcontains\t\nshortcuts\tfor\tloading\tdifferent\ttypes\t\nof\tdata.\tA\tseries\tof\tsample\tdata\tare\t\nalso\tavailable\t\t\n\nClick\ton\t\tDownload\tSample\tData\tto\t\naccess\tthe\tSample\tData\tModule\t",
+  "7_Sampledata_title": "Sample data",
+  "8_Sampledata_title": "Sample data",
+  "7_TextBox_0": "The\tSample\tData\tmodule\t\ncontains\tlinks\tto\tdifferent\t\nsample\tdatasets\tthat\tcan\tbe\t\ndownloaded\tinto\tSlicer.\t",
+  "8_ArrowText_0": "Click\ton\tMRHead to\tdownload\tthe\t\ndataset\tin\tSlicer.\t",
+  "9_TextBox_0": "The\tMR\tscan\tof\tthe\tbrain\tappears\t\nin\tthe\t2D\tviewers.",
+  "10_MRBrainSampleDataset_title": "MR Brain Sample Dataset",
+  "11_MRBrainSampleDataset_title": "MR Brain Sample Dataset",
+  "10_ArrowText_0": "Position the mouse on the little pin\t\nicon\tin the top left corner of the red viewer to display the viewer menu",
+  "11_TextBox_0": "Click\ton\tthe\tlink\ticon\tto\tlink\tall\tthree\t2D\t\nviewers,\tand\ton\tthe\teye\ticon\tnext\tto\tit\t\nto\tdisplay\tthe\tslices\tin\tthe\t3D\tviewer\t);",
+  "12_MRBrainSampleDataset_title": "Click\ton\tthe\tlink\ticon\tto\tlink\tall\tthree\t2D\t\nviewers,\tand\ton\tthe\teye\ticon\tnext\tto\tit\t\nto\tdisplay\tthe\tslices\tin\tthe\t3D\tviewer\t);",
+  "12_TextBox_0": "The\taxial,\tcoronal\tand\tsagittal slices\t\nappear\tin\tthe\t3D\tviewer.\t\nGo\tback\tto\tthe\tWelcome\tmodule\t\nusing\tthe\tgreen\tarrow\tin\tthe\ttoolbar\t);",
+  "13_GoingFurther_title": "The\taxial,\tcoronal\tand\tsagittal slices\t\nappear\tin\tthe\t3D\tviewer.\t\nGo\tback\tto\tthe\tWelcome\tmodule\t\nusing\tthe\tgreen\tarrow\tin\tthe\ttoolbar\t);",
+  "13_TextBox_0": "To\tlearn\tmore\tabout\tSlicer\tand\t\nits\tdifferent\tfunctionalities, visit the Slicer4.8 compendium",
+  "14_TextBox_0": "Acknowledgements",
+  "14_TextBox_1": "National Alliance for Medical Image Computing\nNIH U54EB005148\n\nNeuroimaging Analysis Center\nNIH P41EB015902"
+}

Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_pt-BR.json

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+{
+  "0_TextBox_0": "Bem-vindo ao Slicer",
+  "0_TextBox_1": "Sonia Pujol, Ph.D.",
+  "0_TextBox_2": "28/08/2024",
+  "0_TextBox_3": "\n            ",
+  "1_Goal_title": "Objetivo",
+  "1_Goal_body": "Este tutorial é uma breve introdução ao módulo de boas-vindas do software de código aberto Slicer. ",
+  "2_3DSlicerversion48_title": "3D Slicer versão 4.8",
+  "3_WelcometoSlicer_title": "Bem-vindo ao Slicer",
+  "3_TextBox_0": "Cada módulo de Slicer\ninclui uma série de guias,\nque dão acesso\ndiferentes funcionalidades.\n\nClique na seta\nsímbolo para exibir o\nconteúdo de cada guia.\t",
+  "4_SlicerUserInterface_title": "Interface do usuário do Slicer",
+  "4_TextBox_1": "Interface do usuário\n(UI) painel do\nSlicer Bem-vindo\nMódulo\t",
+  "4_ArrowText_2": "&Barras de ferramentas",
+  "4_TextBox_3": "visualizador 3D",
+  "4_ArrowText_4": "visualizadores anatômicos 2D",
+  "4_ArrowText_5": "Sonda de dados",
+  "5_WelcomeModule_title": "Módulo de boas-vindas",
+  "6_WelcomeModule_title": "Módulo de boas-vindas",
+  "9_WelcomeModule_title": "Módulo de boas-vindas",
+  "5_TextBox_0": "Documentação e Tutoriais\ntab contém links para o treinamento\ncompêndio e páginas de documentação da versão 3D Slicer 4.8.\t",
+  "6_TextBox_0": "O painel do módulo de boas-vindas contém\natalhos para carregar diferentes tipos\nde dados. Uma série de dados de amostra são\ntambém disponível\n\nClique em Baixar dados de amostra para\nacessar o Módulo de Dados de Amostra\t",
+  "7_Sampledata_title": "Dados de amostra",
+  "8_Sampledata_title": "Dados de amostra",
+  "7_TextBox_0": "O módulo de dados da amostra\ncontém links para diferentes\nconjuntos de dados de amostra que podem ser\ntransferido para Slicer.\t",
+  "8_ArrowText_0": "Clique em MRHead para baixar o \nconjunto de dados no Slicer.\t",
+  "9_TextBox_0": "A imagem de ressonância magnética do cérebro aparece\nnos visualizadores 2D.",
+  "10_MRBrainSampleDataset_title": "Conjunto de dados de amostra cerebral de RM",
+  "11_MRBrainSampleDataset_title": "Conjunto de dados de amostra cerebral de RM",
+  "10_ArrowText_0": "Posicione o cursor do mouse sobre o pequeno ícone\nde pino no canto superior esquerdo do visualizador vermelho para exibir o menu do visualizador",
+  "11_TextBox_0": "Clique no ícone de link para conectar os três visualizadores 2D\ne no ícone de olho ao lado para exibir as fatias no visualizador 3D;",
+  "12_MRBrainSampleDataset_title": "Clique no ícone de link para conectar os três visualizadores 2D\ne no ícone de olho ao lado para exibir as fatias no visualizador 3D;",
+  "12_TextBox_0": "As fatias axiais, coronais e sagitais\naparecerão no visualizador 3D.\nVoltar ao módulo Bem-vindo\nusando a seta verde na barra de ferramentas );",
+  "13_GoingFurther_title": "As fatias axiais, coronais e sagitais\naparecerão no visualizador 3D.\nVoltar ao módulo Bem-vindo\nusando a seta verde na barra de ferramentas );",
+  "13_TextBox_0": "Para saber mais sobre o Slicer e suas\ndiferentes funcionalidades, visite o compêndio do Slicer 4.8",
+  "14_TextBox_0": "Agradecimentos",
+  "14_TextBox_1": "Aliança Nacional para Computação de Imagens Médicas\nNIH U54EB005148\n\nCentro de Análise de Neuroimagem\nNIH P41EB015902"
+}

Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_en.json

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+{
+  "0_TextBox_0": "Slicer4 Minute",
+  "0_TextBox_1": "Sonia Pujol, Ph.D",
+  "0_TextBox_2": "Assistant\tProfessor\tof\tRadiology\t\nBrigham\tand\tWomen’s\tHospital\t\nHarvard\tMedical\tSchool\t",
+  "1_Slicer4minutetutorial_title": "Slicer4 minute tutorial\t);",
+  "1_Slicer4minutetutorial_body": "Slicer4 minute tutorial\t);",
+  "2_3DSlicerversion48_title": "3D Slicer version 4.8\t",
+  "3_3DSlicerversion48_title": "3D Slicer version 4.8",
+  "3_TextBox_0": "Drag\tand\tdrop\tthe\t\nslicer4minute.mrb\tto\tload\t\nthe\tscene\tin\tSlicer",
+  "4_Slicer4minuteScene_title": "Slicer4minute Scene",
+  "4_TextBox_0": "Slicer\tdisplays\tthe\telements\t\nof\tthe\tslicer4minute\tscene.\t\nThe\tscene\tcontains\tan\tMRI\t\nscan\tand\t3D\tsurface\tmodels\t\nof\tthe\tbrain.\t",
+  "5_3DVisualization_title": "3D Visualization",
+  "6_3DVisualization_title": "3D Visualization",
+  "7_3DVisualization_title": "3D Visualization",
+  "8_3DVisualization_title": "3D Visualization",
+  "9_3DVisualization_title": "3D Visualization",
+  "11_3DVisualization_title": "3D Visualization",
+  "12_3DVisualization_title": "3D Visualization",
+  "5_TextBox_0": "Select\tthe\tmodule\tModels\t",
+  "6_ArrowText_0": "Toogle slice visibility in 3D view",
+  "6_TextBox_1": "Click\ton\tthe\tpin\ticon\ton\tthe\ttop\tleft corner\tof\tthe\tred\tslice\tto\t\ndisplay\tthe\tslice\tviewer\tmenu.\nClick\ton\tthe\teye\ticon\tto\tdisplay\tthe\taxial\tslice\tin\tthe\t3D\tViewer",
+  "7_TextBox_0": "Use\tthe\tslider\tof\tthe\tred\tviewer\tto\t\nbrowse\tthrough\tthe\taxial\tMR\tslices.\t\nSlicer\tsimultaneously\tdisplays\tthe\t\naxial\tslice\tin\tthe\t3D\tviewer\t",
+  "8_TextBox_0": "Select\tthe\tSkin\tmodel\tand\tlower\tthe\t\nits\topacity\tusing\tthe\tOpacity\tslider\t\nin\tthe\t3D\tDisplay\ttab\t",
+  "8_TextBox_1": "The\tskull_bone.vtk\tmodel\t\nappears\tthrough\tthe\tskin.\t",
+  "9_TextBox_0": "Position the mouse in the 3D viewer, click on the left-mouse button to drag and rotate the model.\nClick on the right mouse button to zoom in and out",
+  "10_Anatomicalviews_title": "Anatomical views",
+  "10_TextBox_0": "Click\ton\tthe\tpin\ticons\tin\tthe\t\ntop\tleft  corner\tof\tthe\tred\t\nand\tgreen\tviewer\tto\tdisplay\t\nthe\tslice\tviewer\tmenu\t\n\nClick\ton\tthe\teye\ticon\tto\t\ndisplay\tthe\taxial\tand\t\ncoronal\tslice\tin\tthe\t3D\t\nviewer",
+  "11_TextBox_0": "Turn\toff\tthe\tvisibility\tof\tthe\t\nskull\tto\tdisplay\tthe\tbrain\t\nwhite\tmaPer\tmode",
+  "12_TextBox_3": "Select\tthe\themispheric_white\tmatter.vtk model\n\nCheck\tClipping\tin\tthe\t3D\tDisplay\ttab\t\n\nIn\tthe\tClipping\tPlanes\ttab,\tselect\tthe\toption ‘Green\tSlice\tClipping’\tand\tcheck\t‘Negative'",
+  "13_TextBox_0": "Acknowledgements",
+  "13_TextBox_1": "National Alliance for Medical Imaging Computing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n\nChan Zuckerberg Initiative\nEssential Open Source for Science Grant #2022-252572 (5022)"
+}

Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_pt-BR.json

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+{
+  "0_TextBox_0": "Slicer em 4 minutos",
+  "0_TextBox_1": "Sonia Pujol, Ph.D",
+  "0_TextBox_2": "Professora Assistente de Radiologia\nHospital Brigham and Women's\nFaculdade de Medicina de Harvard\t",
+  "1_Slicer4minutetutorial_title": "Tutorial de 4 minutos do Slicer\t);",
+  "1_Slicer4minutetutorial_body": "Tutorial de 4 minutos do Slicer\t);",
+  "2_3DSlicerversion48_title": "3D Slicer versão 4.8\t",
+  "3_3DSlicerversion48_title": "3D Slicer versão 4.8",
+  "3_TextBox_0": "Arrastar e soltar o\nslicer4minute.mrb para carregar\na cena em Slicer",
+  "4_Slicer4minuteScene_title": "Cena Slicer em 4 minutos",
+  "4_TextBox_0": "O Slicer exibe os elementos\nda cena slicer4minute.\nA cena contém uma ressonância magnética\ne modelos de superfície 3D\ndo cérebro.\t",
+  "5_3DVisualization_title": "Visualização 3D",
+  "6_3DVisualization_title": "Visualização 3D",
+  "7_3DVisualization_title": "Visualização 3D",
+  "8_3DVisualization_title": "Visualização 3D",
+  "9_3DVisualization_title": "Visualização 3D",
+  "11_3DVisualization_title": "Visualização 3D",
+  "12_3DVisualization_title": "Visualização 3D",
+  "5_TextBox_0": "Selecione o módulo Modelos\t",
+  "6_ArrowText_0": "Alternar a visibilidade da fatia na visualização 3D",
+  "6_TextBox_1": "Clique no ícone de alfinete no canto superior esquerdo da fatia vermelha para\nexibir o menu do visualizador de fatias.\nClique no ícone de olho para exibir a fatia axial no visualizador 3D",
+  "7_TextBox_0": "Use o controle deslizante do visualizador vermelho para\nnavegar através das partes MR axial.\nSlicer exibe simultaneamente o\nfatia axial no espectador 3D\t",
+  "8_TextBox_0": "Selecione o modelo de pele e baixe o\nsua opacidade usando o controle deslizante de opacidade\nna guia de exibição 3D\t",
+  "8_TextBox_1": "O modelo skull_bone.vtk\naparece através da pele.\t",
+  "9_TextBox_0": "Posicione o mouse no visualizador 3D, clique no botão esquerdo para arrastar e girar o modelo.\nClique no botão direito do mouse para ampliar e sair",
+  "10_Anatomicalviews_title": "Vistas anatômicas",
+  "10_TextBox_0": "Clique nos ícones de pino no \ncanto superior esquerdo do \nvisualizador vermelho e verde \npara exibir o menu do \nvisualizador de fatias\n\nClique no ícone de olho para \nexibir a fatia axial e coronal \nno visualizador 3D",
+  "11_TextBox_0": "Desative a visibilidade do crânio \npara exibir o cérebro no modo \nmapeador branco",
+  "12_TextBox_3": "Selecione o modelo hemispheric_white matter.vtk\n\nVerificar Clipping na guia Display 3D\n\nNa guia Clipping Planes, selecione a opção ‘Green Slice Clipping’ e verifique ‘Negativo’",
+  "13_TextBox_0": "Agradecimentos",
+  "13_TextBox_1": "Aliança Nacional para Computação de Imagens Médicas\nNIH U54EB005149\n\nCentro de Análise de Neuroimagens\nNIH P41EB015902\n\nIniciativa Chan Zuckerberg\nSubvenção Essencial de Código Aberto para Ciência nº 2022-252572 (5022)"
+}

Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_ar-SA.json

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+{
+  "0_TextBox_0": "AIBasedSegmentationIn3DSlicer",
+  "0_TextBox_1": "Sonia Pujol, Ph.D.",
+  "0_TextBox_2": "30/06/2025",
+  "0_TextBox_3": "AI - based Segmentation in 3D Slicer",
+  "1_TextBox_1": "Click on Add Data in the Welcome to \tSlicer module",
+  "2_TextBox_0": "Slicer loads the prostate MRI dataset",
+  "3_ArrowText_0": "Click on Welcome to Slicer in the\nModules’ menu and browse to\n the category Segmentation.",
+  "4_ArrowText_0": "Enter the model’s name Prostate in\nthe Segmentation model menu",
+  "4_TextBox_1": "Select the model Prostate - Multisequence",
+  "5_ArrowText_0": "Enter the Input T2 volume msdprostate-01-adc",
+  "6_ArrowText_0": "And the Input ADC volume msd-prostate-01-adc",
+  "6_TextBox_1": "Click on Create new segmentation on\nApply",
+  "7_TextBox_0": "Slicer starts the inference",
+  "17_TextBox_0": "Slicer starts the inference",
+  "8_TextBox_0": "Slicer shows the result of the AIbased prostate segmentation",
+  "9_TextBox_0": "Load dataset4_BrainMRI_Glioma",
+  "10_ArrowText_0": "Select the module MONAIAuto3DSeg and enter the\nmodel’s name Brain Tumor Segmentation in the\nSegmentation model menu",
+  "10_TextBox_1": "Select the model Brain Tumor Segmentation\n(BRATS) GLI",
+  "11_TextBox_0": "Enter the input volumes as follows:\nInput T2F volume: BraTS-GLI_00005-000-t12f\nInput T1C volume: BraTS-GLI_00005-000-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\nClick on Create new Segmentation on Apply\nClick on Apply to start the segmentation",
+  "12_TextBox_0": "Slicer starts running the inference task",
+  "13_ArrowText_1": "Once the segmentation is done, ‘Processing finished’\nappears in the Slicer GUI",
+  "14_TextBox_0": "In the Add DICOM Data module,\nselect the Patient patient1 and\ndouble click on the image\nCT_Thorax_Abdomen to load it in\nSlicer",
+  "15_ArrowText_0": "Select the module MONAIAuto3DSeg and enter the\nmodel’s name Whole Body Segmentation in the\nSegmentation model menu);",
+  "15_ArrowText_1": "Select the module MONAIAuto3DSeg and enter the\nmodel’s name Whole Body Segmentation in the\nSegmentation model menu);",
+  "16_TextBox_0": "Select the input Volume 6: CT_Thorax_Abdomen,\nClick on Create new Segmentation on Apply\nClick on Apply to start the segmentation",
+  "18_TextBox_0": "Slicer displays the result of the AI-based segmentation\nusing the Whole Body Segmentation TS1- quick",
+  "19_TextBox_0": "Acknowledgements"
+}

Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_en.json

@@ -0,0 +1,29 @@
+{
+  "4_TextBox_1": "Select the model Prostate - Multisequence",
+  "0_TextBox_0": "AIBasedSegmentationIn3DSlicer",
+  "0_TextBox_1": "Sonia Pujol, Ph.D.",
+  "0_TextBox_2": "30/06/2025",
+  "0_TextBox_3": "AI - based Segmentation in 3D Slicer",
+  "1_TextBox_1": "Click on Add Data in the Welcome to \tSlicer module",
+  "2_TextBox_0": "Slicer loads the prostate MRI dataset",
+  "3_ArrowText_0": "Click on Welcome to Slicer in the\nModules’ menu and browse to\n the category Segmentation.",
+  "4_ArrowText_0": "Enter the model’s name Prostate in\nthe Segmentation model menu",
+  "5_ArrowText_0": "Enter the Input T2 volume msdprostate-01-adc",
+  "6_ArrowText_0": "And the Input ADC volume msd-prostate-01-adc",
+  "6_TextBox_1": "Click on Create new segmentation on\nApply",
+  "7_TextBox_0": "Slicer starts the inference",
+  "17_TextBox_0": "Slicer starts the inference",
+  "8_TextBox_0": "Slicer shows the result of the AIbased prostate segmentation",
+  "9_TextBox_0": "Load dataset4_BrainMRI_Glioma",
+  "10_ArrowText_0": "Select the module MONAIAuto3DSeg and enter the\nmodel’s name Brain Tumor Segmentation in the\nSegmentation model menu",
+  "10_TextBox_1": "Select the model Brain Tumor Segmentation\n(BRATS) GLI",
+  "11_TextBox_0": "Enter the input volumes as follows:\nInput T2F volume: BraTS-GLI_00005-000-t12f\nInput T1C volume: BraTS-GLI_00005-000-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\nClick on Create new Segmentation on Apply\nClick on Apply to start the segmentation",
+  "12_TextBox_0": "Slicer starts running the inference task",
+  "13_ArrowText_1": "Once the segmentation is done, ‘Processing finished’\nappears in the Slicer GUI",
+  "14_TextBox_0": "In the Add DICOM Data module,\nselect the Patient patient1 and\ndouble click on the image\nCT_Thorax_Abdomen to load it in\nSlicer",
+  "15_ArrowText_0": "Select the module MONAIAuto3DSeg and enter the\nmodel’s name Whole Body Segmentation in the\nSegmentation model menu);",
+  "15_ArrowText_1": "Select the module MONAIAuto3DSeg and enter the\nmodel’s name Whole Body Segmentation in the\nSegmentation model menu);",
+  "16_TextBox_0": "Select the input Volume 6: CT_Thorax_Abdomen,\nClick on Create new Segmentation on Apply\nClick on Apply to start the segmentation",
+  "18_TextBox_0": "Slicer displays the result of the AI-based segmentation\nusing the Whole Body Segmentation TS1- quick",
+  "19_TextBox_0": "Acknowledgements"
+}

Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_pt-BR.json

@@ -0,0 +1,29 @@
+{
+  "0_TextBox_0": "Segmentação baseada em IA no 3D Slicer",
+  "0_TextBox_1": "Sonia Pujol, Ph.D.",
+  "0_TextBox_2": "30/06/2025",
+  "0_TextBox_3": "Segmentação baseada em IA no 3D Slicer",
+  "1_TextBox_1": "Clique em Adicionar Dados no módulo Bem-vindo ao Slicer",
+  "2_TextBox_0": "Slicer carrega o conjunto de dados de RM da próstata",
+  "3_ArrowText_0": "Clique em Bem-vindo ao Slicer no\nMenu de módulos e navegue para\na categoria Segmentação.",
+  "4_ArrowText_0": "Insira o nome do modelo Próstata no\nmenu Modelo de segmentação",
+  "4_TextBox_1": "Selecione o modelo Próstata - Multisequência",
+  "5_ArrowText_0": "Insira o volume T2 de entrada msdprostate-01-adc",
+  "6_ArrowText_0": "E o volume de entrada ADC msd-prostate-01-adc",
+  "6_TextBox_1": "Selecione Criar novo segmento ao\nAplicar",
+  "7_TextBox_0": "O Slicer inicia a inferência",
+  "17_TextBox_0": "O Slicer inicia a inferência",
+  "8_TextBox_0": "O Slicer exibe o resultado da segmentação da próstata baseada em IA",
+  "9_TextBox_0": "Carregar dataset4_BrainMRI_Glioma",
+  "10_ArrowText_0": "Selecione o módulo MONAIAuto3DSeg e no menu\nde modelos de Segmentação, insira o modelo\nBrain Tumor Segmentation",
+  "10_TextBox_1": "Selecione o modelo Brain Tumor Segmentation\n(BRATS) GLI",
+  "11_TextBox_0": "Insira os volumes de entrada da seguinte forma:\nVolume de entrada T2F: BraTS-GLI_00005-000-t12f\nVolume de entrada T1C: BraTS-GLI_00005-000-t1c\nVolume de entrada T1N: BraTS-GLI_00005-000-t1n\nVolume de entrada T2W: BraTS-GLI_00005-000-t2w\nClique em Criar nova segmentação e, depois, em Aplicar\nClique em Aplicar para iniciar a segmentação",
+  "12_TextBox_0": "O Slicer inicia a execução da tarefa de inferência",
+  "13_ArrowText_1": "Assim que a segmentação for concluída, a mensagem \"Processamento finalizado\"\naparecerá na interface gráfica do Slicer",
+  "14_TextBox_0": "No módulo Adicionar Dados DICOM,\nselecione o Paciente patient1 e\nclique duas vezes na imagem\nCT_Thorax_Abdomen para carregá-la no\nSlicer",
+  "15_ArrowText_0": "Selecione o módulo MONAIAuto3DSeg e insira \no nome do modelo (Whole Body Segmentation) no\nmenu Modelo de Segmentação;",
+  "15_ArrowText_1": "Selecione o módulo MONAIAuto3DSeg e insira \no nome do modelo (Whole Body Segmentation) no\nmenu Modelo de Segmentação;",
+  "16_TextBox_0": "Selecione o Volume de entrada 6: CT_Tórax_Abdômen,\nClique em Criar nova Segmentação e, depois, em Aplicar\nClique em Aplicar para iniciar a segmentação",
+  "18_TextBox_0": "O Slicer exibe o resultado da segmentação baseada em IA\nusando a Segmentação Corporal Completa TS1 - rápida",
+  "19_TextBox_0": "Agradecimentos"
+}