Network Architecture for the ISBI_2018 paper : DIAGNOSTIC CLASSIFICATION OF LUNG NODULES USING 3D NEURAL NETWORKS

Deep-learning based classification pipeline for subtyping lung tumors from histology. Study design and codebase to analyze the impact of nucleus segmentation on subtyping.

Classification of chest CT using caselevel weak supervision

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 Cancer Detection with SVM uses the Support Vector Machine algorithm to detect lung cancer from medical images and patient data. This project covers data preprocessing, feature extraction, model training, and evaluation, aiming to provide a reliable tool for early detection and timely diagnosis.