An automated lung cancer detection project.
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Updated
Mar 6, 2017 - Python
An automated lung cancer detection project.
Mutation Detection in Lung Cancer Cell Lines using CNNs
Classification of chest CT using caselevel weak supervision
[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”
Final year Btech Lung-Cancer-Detection-Project with code and documents
Tool for the annotation of PET-CT images in 3D Slicer. Based on MONAILabel. Paper: Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT (MIUA 2022)
Deep features and radiomics selection with NSGA-II for pulmonary nodule classification
EasyNodule is a software made to help clinicinas to classify Lung Cancer. This will help in elaborating a traitement for the patient which will reduce the progress of the cancer which considered the most killer cancer in the world.
Lung Preneoplasia Progression via Pathomics
Automatic end-to-end lung tumor segmentation from CT images.
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
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