766 datasets found

The BRACS dataset is a public dataset for whole slide image analysis, containing 1,000 whole slide images of breast cancer histopathology slides.

The CAMELYON-16 dataset is a public dataset for whole slide image analysis, containing 16,000 whole slide images of breast cancer histopathology slides.

A large-scale dataset of chest CT scans for COVID-19 diagnosis and triage

Noisy ultrasound images were represented as one of the major challenges in medical diagnosis. Regarding that, stemming from denoising diffusion probabilistic models, a denoising...

The dataset is composed of a consecutive series of patients admitted to our hospital with a confirmed diagnosis of aneurysmal subarachnoid hemorrhage (SAH) between 2016 and 2022.

Hepatitis Patients dataset consists of 20 features and 155 observations

Liver Patients dataset consists of 583 observations and 11 features

Breast Cancer Wisconsin (Original) dataset consists of 699 observations and 11 features

Dataset for IDH status determination from MRI

Dataset for prostate cancer detection from multiparametric MRI

Multi-modality MRI dataset for brain tumor segmentation

Multi-modality MRI masked autoencoder for self-supervised learning of multi-modality MRI

The dataset consists of head and neck MRIs of 199 patients. Each MRI is a fluid attenuated inversion recovery (FLAIR) MRI. The dataset is part of the Hamburg City Health Study.

DR-Private is a private dataset of chest X-ray images with annotations.

ChestX-Det is a subset of NIH ChestX-14 with box annotations of 13 categories of diseases.

A neural network with single-hidden layer of 64 hidden units and ReLU activations. A prior precision of ε = 1, a minibatch size of 128 and 16 Monte-Carlo samples are used for...

The SIIM-ISIC Melanoma Classification Challenge dataset consists of dermoscopic images of histopathologically confirmed melanomas and benign melanoma mimickers.

Explainability is a longstanding challenge in deep learning, especially in high-stakes domains like healthcare. Common explainability methods highlight image regions that drive...

Quantile regression for uncertainty estimation in regression tasks such as image translation and anomaly detection in medical imaging.

The PJI dataset is a collection of X-ray images and laboratory examination data for postoperative infection diagnosis.