Awesome artificial intelligence in cancer diagnostics and oncology
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Updated
Oct 21, 2022
Awesome artificial intelligence in cancer diagnostics and oncology
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charita…
This is a WebApp, which detects lung diseases with integrated stripe payment processing.
Automatic end-to-end lung tumor segmentation from CT images.
A module for the Insight Toolkit (ITK) that provides a generic, modular, and extensible architecture for lesion sizing algorithms in medical images as well as a reference algorithm for lung solid lesion segmentation in CT images.
[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”
This is the segmentation process of the LIDC-IDRI dataset. Checkout my preprocessing repository to use this repository
A Machine Learning Project to detect if someone has Lung Cancer or not. Built with FastAPI, Streamlit and Docker.
Code for preprocessing the LIDC-IDRI lung cancer screening CT scan dataset
Sequence-to-sequence image and contour prediction library for longitudinal datasets [PMB'23]
Deep features and radiomics selection with NSGA-II for pulmonary nodule classification
Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"
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.
🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
Repository containing the codebase for modelling the demand and capacity requirements for Lung Cancer Health Checks
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
Classification of chest CT using caselevel weak supervision
Descriptive and Statistical Analysis on the Cancer Patients dataset
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