[ICCV 2025] AbdomenAtlas 3.0 (9,262 CT volumes + medical reports). These “superhuman” reports are more accurate, detailed, standardized, and generated faster than traditional human-made reports.

[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".

Liver Lesion Segmentation with 2D Unets

Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.

Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"

Segmentation of skin cancers on ISIC 2017 challenge dataset.

TextSCF: LLM-Enhanced Image Registration Model

[BIBM 2025] The official code for "Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification".

Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.

DeepWMH: Annotation-free white matter hyperintensity (WMH) lesion segmentation tool using deep learning.

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

Official development code of the Automatic Scoring of Atopic Dermatitis (ASCORAD) by Legit.Health 🩺🤖

DL tool for white matter hyperintensities segmentation

Official PyTorch Implementation of ModDrop++ [MICCAI 2022 (early accept)]. A simple yet effective approach to tackle missing-modality problem for multi-modality medical imaging data.

A comprehensive platform for analyzing pulmonary parenchyma lesions on chest CT.

Sequence Adaptive Multimodal SEGmentation (SAMSEG)

[BSPC] The official code for "MHorUNet: High-order spatial interaction UNet for skin lesion segmentation".

The official code for "LiteMamba-Bound: A lightweight Mamba-based model with boundary-aware and normalized active contour loss for skin lesion segmentation"

Fully automatic skin lesion segmentation using the Berkeley wavelet transform and UNet algorithm.

A production-grade deep learning system for automated skin lesion classification using the HAM10000 dataset. This system provides training, evaluation, and real-time inference capabilities for detecting seven types of skin lesions.

Active learning-based interactive tool for semi-supervised image segmentation

No description provided.

Breast ultrasound (BUS) image segmentation using region-growing algorithm

Skin lesion segmentation with a U-Net, using the dataset from ISIC challenge 2018.

A 2D and 3D PyTorch implementation of the Tiramisu CNN

MedLesSynth-LD : Lesion Synthesis using Physics-Based Noise Models for Robust Lesion Segmentation in Low-Data Medical Imaging Regimes

3D Slicer extension that provides T2-FLAIR MRI manipulation methods in order to increase contrast and segment hyperintense Multiple Sclerosis lesions

Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc

metrics for evaluating lesion segmentations

Why should radiologists rely on eyesight alone, when computer vision and amazing open-source processing frameworks are already available. This respository hosts the full bash-based pipeline, whilst there is a minimal python+webui implementation also available open-source