Segmentation of skin cancers on ISIC 2017 challenge dataset.

This repository contains skin cancer lesion detection models. These are trained on a sequential and a custom ResNet model

Liver Lesion Segmentation with 2D Unets

Segmentation Guided Scoring of Pathological Lesions in Swine Through CNNs

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

Project for UCSF 265

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

[IJHCS] UTA7: a dataset of heatmaps and images resulted from computing the given abnormalities which were manually delineated by clinicians while annotating the breast cancer lesions.

Deep learning models to lung lesion segmentation & classification on CT slices with pytorch.

calculate quality metrics for lesion segmentation results

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

Omni-supervised domain adversarial training for WM hyperintensity segmentation

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.

metrics for evaluating lesion segmentations

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

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

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

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

Skin Lesion Segmentation

this repo's goal is an improvement in overall development capability about image processing