lidc-idri

This is the preprocessing step of the LIDC-IDRI dataset

This is the segmentation process of the LIDC-IDRI dataset. Checkout my preprocessing repository to use this repository

3D NAS for Pulmonary Nodules Classification, PR 2021

Soft attention transfer learning for lung cancer identification on CT and histopathology scans. Datasets: IQ-OTH/NCCD, LC25000, LIDC-IDRI. Published at IEEE ISACC 2025.

Malignancy classification using simple deep learning method in LIDC-IDRI dataset.

Machine learning pipeline for lung cancer classification using CT-derived radiomic features from the LIDC-IDRI dataset.

Lung Cancer Classification with CT Scans [Labs of AI and DS Course Project]

This repo contains a simple code to generate binary masks for LIDC IDRI dataset

3D CNN reimplementation of a 2023 lung-cancer CT paper on LIDC-IDRI — 5-fold patient-grouped CV, pooled AUC 0.905 vs 0.71 baseline

Deep learning-based pulmonary nodule classification using DenseNet121, Grad-CAM, and the LIDC-IDRI dataset.

Rigorous 3D pulmonary nodule segmentation benchmark on LIDC-IDRI with patient-level splitting and multi-seed validation.

A curated reconstruction of MAPS with small, meaningful commits documenting the system’s full architectural evolution.

3D Attention U-Net for lung tumour segmentation from CT scans using the LIDC-IDRI dataset | Test Dice: 0.7842 | TensorFlow | Deployed on Hugging Face

AI-based lung nodule detection from chest CT · 3D visualization · SpiralNet+PointNet+Transformer+MeshCNN 4-branch hybrid · Team T.O.P (PM role) · 2025-1 medical IT capstone · LIDC-IDRI dataset