The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.
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Sep 15, 2025 - Python
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cancer-segmentation
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This repository contains the source code for Haidar Muhammad Zidan's undergraduate thesis, "Improving Computational Efficiency of U-Net Architecture for Lung Cancer Segmentation in Computed Tomography-Scans via Knowledge Distillation."
computer-vision deep-learning pytorch medical-imaging resnet image-segmentation knowledge-distillation model-compression u-net ct-scans cancer-segmentation lung-cancer-segmentation
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Oct 24, 2025 - Jupyter Notebook
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