Skip to content

ENH: Update text_dict_default.json file of AIBasedSegmentation tutorial #162

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
DouSam merged 2 commits into from
Feb 27, 2026
Merged

ENH: Update text_dict_default.json file of AIBasedSegmentation tutorial #162

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
78c4d7a
ENH: Update text_dict_default.json file of Update AIBasedSegmentation…
spujol Feb 27, 2026
507b558
ENH: Update text_dict_default.json
spujol Feb 27, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
33 changes: 17 additions & 16 deletions Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_default.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"0_slide_title": " ",
"0_slide_body": " ",
"0_TextBox_0": "AI-based Segmentation in 3D Slicer",
"0_TextBox_1": "Sonia Pujol, Ph. D\nBrigham and Women's Hospital,\nHarvard Medical School\nBoston, MA",
"0_TextBox_1": "Sonia Pujol, Ph. D. \nBrigham and Women's Hospital,\nHarvard Medical School\nBoston, MA",
"0_TextBox_2": " ",
"0_TextBox_3": "Slicer Ribeirão Preto Workshop\nJune 30, 2025",
"1_slide_title": "",
Expand All @@ -16,11 +16,11 @@
"3_slide_title": "",
"3_slide_body": "",
"3_TextBox_0": "AI Terminology",
"3_TextBox_1": "A is an AI algorithm that was trained to perform a specific task (e.g. brain tumor segmentation model).\n\nThe Weights of an AI model are small numbers that determine how much importance the model gives to different image features.\n\nDuring the Training phase, a Model learns patterns from data labelled by experts and adjusts its weights to improve its predictions.\n\nDuring the Validation/Test phase, the model is evaluated on a separate set of data not used during the Training phase.\n\nDuring Inference, the model is applied to new datasets to perform the specific task it was trained for.",
"3_TextBox_1": "A Model is an AI algorithm that was trained to perform a specific task (e.g. brain tumor segmentation model).\n\nThe Weights of an AI model are small numbers that determine how much importance the model gives to different image features.\n\nDuring the Training phase, a model learns patterns from data labelled by experts and adjusts its weights to improve its predictions.\n\nDuring the Validation/Test phase, the model is evaluated on a separate set of data not used during the Training phase.\n\nDuring Inference, the model is applied to new datasets to perform the specific task it was trained for.",
"4_slide_title": "",
"4_slide_body": "",
"4_TextBox_0": "3D Slicer AI Workshop",
"4_TextBox_1": "This tutorial focuses on running inference tasks using various pretrained AI models for automated segmentation of anatomical and pathological structures.",
"4_TextBox_0": "3D Slicer AI Tutorial",
"4_TextBox_1": "This tutorial focuses on running inference tasks using various pre-trained AI models for automated segmentation of anatomical and pathological structures.",
"5_slide_title": "",
"5_slide_body": "",
"5_TextBox_0": "MONAIAuto3DSeg Slicer extension",
Expand All @@ -32,7 +32,7 @@
"7_slide_title": "",
"7_slide_body": "",
"7_TextBox_0": "Slicer AI Tutorial: Segmentation Tasks",
"7_TextBox_1": "Segmentation Task #1: Prostate.\n\n\nSegmentation Task #2: Brain Glioma.\n\n\nSegmentation Task #3: Whole Body Segmentation.",
"7_TextBox_1": "Segmentation Task #1: Prostate \n\n\nSegmentation Task #2: Brain Glioma \n\n\nSegmentation Task #3: Whole Body Segmentation",
"8_slide_title": "",
"8_slide_body": "",
"8_TextBox_0": "AI Segmentation Task #1: Prostate",
Expand All @@ -43,20 +43,20 @@
"10_slide_title": "",
"10_slide_body": "",
"10_Rectangle_0": "",
"10_TextBox_1": "Click on Add Data in the Welcome to Slicer Module\n\nClick on Choose Directory to Add and browse to the location of the Slicer datasets",
"10_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose Directory to Add and browse to the location of the Slicer datasets\n\nSelect the dataset3_ProstateMRI and click on Open",
"11_slide_title": "",
"11_slide_body": "",
"11_TextBox_0": "Slicer loads the prostate MRI data set",
"11_TextBox_0": "Slicer loads the prostate MRI dataset",
"12_slide_title": "",
"12_slide_body": "",
"12_TextBox_0": "Click on Welcome to Slicer in the Modules' menu and browse to the category Segmentation\n\nSelec the MONAI Auto3DSeg module",
"12_TextBox_0": "Click on Welcome to Slicer in the Modules' menu and browse to the category Segmentation\n\nSelect the MONAIAuto3DSeg module",
"13_slide_title": "",
"13_slide_body": "",
"13_TextBox_0": "Enter the model's name Prostate in the Segmentation model menu",
"13_TextBox_1": "Select the model Prostate - Multisequence",
"14_slide_title": "",
"14_slide_body": "",
"14_TextBox_0": "Enter the Input T2 volume msd-prostate-01-adc and the Input ADC volume msd-prostate-01-adc.",
"14_TextBox_0": "Enter the Input T2 volume msd-prostate-01-t2 and the Input ADC volume msd-prostate-01-adc",
"14_TextBox_1": "Click on Create new segmentation on Apply",
"15_slide_title": "",
"15_slide_body": "",
Expand All @@ -74,14 +74,15 @@
"19_slide_title": "",
"19_slide_body": "",
"19_Rectangle_0": "",
"19_TextBox_1": "Click on Add Data in the Welcome to Slicer Module\n\nClick on Choose File(s) to Add and browse to the loccation of the Slicer datasets",
"19_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose File(s) to Add and browse to the location of the Slicer datasets\n\nIn the subdirectory dataset4_BrainMRI_Glioma, select the four datasets
BraTS-GLI-00006-t1c.nii.gz, BraTS-GLI-00006-t1n.nii.gz, BraTS-GLI-00006-t2f.nii.gz, BraTS-GLI-00006-t2w.nii.gz\n\n\Click on Open",
"20_slide_title": "",
"20_slide_body": "",
"20_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Brain Tumor Segmentation in the Segmentation model menu",
"20_TextBox_1": "Select the model Brain Tumor Segmentation (BRATS) GLI",
"21_slide_title": "",
"21_slide_body": "",
"21_TextBox_0": "Enter the input volumes as follows:\n\nInput T2F volume: BraTS-GLI_00005-000-t12f\nInput T1C volume: BraTS-GLI_00005-00-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\n\n\nClick on Create new Segmentation on Appply\n\nClick on Apply to start the segmentation",
"21_TextBox_0": "Enter the input volumes as follows:\n\nInput T2F volume: BraTS-GLI_00005-000-t2f\nInput T1C volume: BraTS-GLI_00005-000-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\n\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation",
"22_slide_title": "",
"22_slide_body": "",
"22_Rectangle_0": "",
Expand All @@ -102,20 +103,20 @@
"26_TextBox_0": "In the Add DICOM Data module, select the Patient patient1 and double click onthe image CT_Thorax_Abdomen to load it in Slicer",
"27_slide_title": "",
"27_slide_body": "",
"27_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Whole Body Segmentation in the Segmentation model menu",
"27_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Whole Body Segmentation in the Segmentation model menu",
"27_TextBox_1": "Select the model Whole Body Segmentation TS1-quick",
"28_slide_title": "",
"28_slide_body": "",
"28_TextBox_0": "Select the input Volume 6: CT_Thorax_Abdomen,\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation",
"28_TextBox_0": "Select the input Volume 6:CT_Thorax_Abdomen,\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation",
"29_slide_title": "",
"29_slide_body": "",
"29_TextBox_0": "Slicer displays the results of the IA-based segmentation using the Whole Body Segmentation TS1-quick",
"29_TextBox_0": "Slicer displays the results of the AI-based segmentation using the Whole Body Segmentation TS1-quick",
"30_slide_title": "",
"30_slide_body": "",
"30_TextBox_0": "Conclusion",
"30_TextBox_1": "The 3D SlicerMONAIAuto3DSeg extension provides fast AI-based segmentation of anatomical and pathological structures.\n\n\nThe module can run on standard laptop and desktop computers with no GPU.",
"30_TextBox_1": "The 3D Slicer MONAIAuto3DSeg extension provides fast AI-based segmentation of anatomical and pathological structures.\n\n\nThe module can run on standard laptop and desktop computers with no GPU.",
"31_slide_title": " ",
"31_slide_body": " ",
"31_TextBox_0": "Acknowledgements",
"31_TextBox_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible by two CZI Essential Open Source Software for Science (EOSS cycle 4 & 5) grants."
"31_TextBox_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible through funding by the Chan Zuckerberg Initiative."
}