17 datasets found

Automated medical image segmentation can assist doctors to diagnose faster and more accurate. Deep learning based models for medical image segmentation have made great progress...

Chest radiography is one of the most ubiquitous diagnostic modalities for cardiothoracic and pulmonary abnormalities in the clinical setting. A timely diagnostic based on the...

Lung organ segmentation dataset

Skin lesion segmentation dataset

A dataset for real-time prediction of segmentation quality.

A dataset for pancreas segmentation.

The dataset consists of T1-weighted brain MRI images of patients, with manual segmentation of anatomical structures provided.

Skin lesion segmentation dataset for PH2

Gastrointestinal mucosal changes can cause cancers after some years and early diagnosing them can be very useful to prevent cancers and early treatment.

The extended colorectal cancer grading dataset contains 300 H&E-stained colorectal cancer subtyping pathology images.

The vitiligo (public) dataset contains 672 training, 268 validation, and 401 test images.

The ISIC 2017 skin lesion classification dataset contains 2000 training, 150 validation, and 600 test images.

Skin cancer segmentation using Segment Anything Model

Skin lesion segmentation dataset

The dataset used for the experiments of the paper "CORE-PERIPHERY PRINCIPLE GUIDED REDISIGN OF SELF-ATTENTION IN TRANSFORMERS"

The dataset is used for low-dose computed tomography (LDCT) image denoising. It contains noisy LDCT images and their corresponding clean targets.

Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic).