🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
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Updated
Jun 26, 2024 - Python
🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
Automatic end-to-end lung tumor segmentation from CT images.
Lung Preneoplasia Progression via Pathomics
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.
Deep features and radiomics selection with NSGA-II for pulmonary nodule classification
Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT (MIUA 2022)
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
Final year Btech Lung-Cancer-Detection-Project with code and documents
[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”
Classification of chest CT using caselevel weak supervision
Mutation Detection in Lung Cancer Cell Lines using CNNs
An automated lung cancer detection project.
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