766 datasets found

Blindness Detection dataset

The dataset used in the diabetic retinopathy detection task in the conformal risk control framework.

Breast cancer dataset for automatic detection, segmentation, and classification of breast lesions in mammography images

Liver steatosis segmentation dataset with deep learning methods

A public dataset for COVID-19 lesion segmentation in CT scans.

A public dataset for COVID-19 lesion segmentation in CT scans.

The dataset contains prostate MRI and ultrasound images with pathology and coordinates of tracked biopsy.

The dataset used in the paper is a combination of medical images, including T1, T2, and Flair MRI scans from BraTS, and images from MVTec AD.

The NIH Chest X-ray dataset contains over 100,000 frontal-view X-ray images.

A dataset and a technique for generalized nuclear segmentation for computational pathology.

A two-stage, coarse-to-fine approach that trains an FCN model to roughly delineate the organs of interest in the first stage and then uses these predictions of the first-stage...

This dataset is created for medical AI development, focusing on chest x-ray prioritization software for global use.

Brain tumor segmentation dataset

Brain tumor segmentation dataset

Brain tumor segmentation dataset

Large language models (LLMs) have achieved significant performance progress in various natural language processing applications. However, LLMs still struggle to meet the strict...

A dataset of 228 OCT volumes with a total of 11,172 B-scans (66 Heidelberg Spectralis and 162 Zeiss Cirrus volumes).

A retinal cross-domain dataset consisting of 1,179 OCT volumes (57,771 B-scans after re-sampling Cirrus OCTs) with a total of 11,172 B-scans (66 Heidelberg Spectralis and 162...

Low-field MRI images were synthesised to have a resolution of 1.5mm×1.5mm×1.5mm and added Rician noise to emulate a low SNR of 70mT

The Medical Segmentation Decathlon dataset is a benchmark for medical image segmentation, containing 131 CT volumes.