PW45_2026_Boston: Add project ExtractingDeepLearningFeaturesFromCtImagesOfTheThoracicRegionForLungCancerApplications

Author: sjh26

PW45_2026_Boston/Projects/ExtractingDeepLearningFeaturesFromCtImagesOfTheThoracicRegionForLungCancerApplications/README.md

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+---
+layout: pw45-project
+
+permalink: /:path/
+
+project_title: Extracting deep learning features from CT images of the thoracic region for lung cancer
+  applications
+category: Segmentation / Classification / Landmarking
+presenter_location: 
+
+key_investigators:
+
+- name: Renzo Phellan Aro
+  affiliation: Lunenfeld-Tanenbaum Research Institute
+  country: Sinai Health, Canada
+
+---
+
+# Project Description
+
+<!-- Add a short paragraph describing the project. -->
+
+
+This project focuses on creating or using existing foundational deep learning models in 3D Slicer to process CT images of the thoracic region. The objective is to extract features that can be used for lung cancer applications, such as classification, screening, and risk prediction.
+
+
+
+## Objective
+
+<!-- Describe here WHAT you would like to achieve (what you will have as end result). -->
+
+
+1. The main objective is to create a 3D Slicer application that receives either one or multiple CT images, processes them with a deep learning model, and generates features that can be used for various lung cancer applications.
+
+
+
+
+## Approach and Plan
+
+<!-- Describe here HOW you would like to achieve the objectives stated above. -->
+
+
+1. Identify members of the 3D Slicer community interested in participating in the project.
+2. Meet and discuss the scope of the project during the 3D Slicer week preparation meetings.
+3. List the functional and GUI requirements for the application.
+4. Identify useful deep learning foundational models for lung cancer applications.
+5. Develop the 3D Slicer application to extract features from CT images of the thoracic region.
+
+
+
+## Progress and Next Steps
+
+<!-- Update this section as you make progress, describing of what you have ACTUALLY DONE.
+     If there are specific steps that you could not complete then you can describe them here, too. -->
+
+
+1. Working on identifying members of the 3D Slicer community interested in participating in the project.
+
+
+
+
+# Illustrations
+
+<!-- Add pictures and links to videos that demonstrate what has been accomplished. -->
+
+
+_No response_
+
+
+
+# Background and References
+
+<!-- If you developed any software, include link to the source code repository.
+     If possible, also add links to sample data, and to any relevant publications. -->
+
+
+1. https://projectweek.na-mic.org/PW44_2026_GranCanaria/Projects/ExplorationOfFoundationModelsAndTheirEmbeddingsForOtherTasksUsingTheCloud/
+2. https://github.com/AIM-Harvard/TumorImagingBench
+3. https://imagingdatacommons.github.io/nlst-sybil-connectome/?model=CTClipVit&match=c&color=cancerType
+4. https://github.com/niccolo246/3D-MAE-MedImaging
+5. https://arxiv.org/pdf/2501.09001
+6. https://pmc.ncbi.nlm.nih.gov/articles/PMC12876872/
+