-
Liver Patients
Liver Patients dataset consists of 583 observations and 11 features -
Breast Cancer Wisconsin (Original)
Breast Cancer Wisconsin (Original) dataset consists of 699 observations and 11 features -
Residual Convolutional Neural Network for IDH Status Determination
Dataset for IDH status determination from MRI -
Hamburg City Health Study
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
DR-Private is a private dataset of chest X-ray images with annotations. -
ChestX-Det
ChestX-Det is a subset of NIH ChestX-14 with box annotations of 13 categories of diseases. -
Breast Cancer
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... -
SIIM-ISIC Melanoma Classification Challenge
The SIIM-ISIC Melanoma Classification Challenge dataset consists of dermoscopic images of histopathologically confirmed melanomas and benign melanoma mimickers. -
Visual Classification as Linear Combination of Words
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 robust estimation of uncertainty in the presence of o...
Quantile regression for uncertainty estimation in regression tasks such as image translation and anomaly detection in medical imaging. -
PJI dataset
The PJI dataset is a collection of X-ray images and laboratory examination data for postoperative infection diagnosis. -
APTOS 2019 Blindness Detection
Blindness Detection dataset -
Diabetic Retinopathy Detection
The dataset used in the diabetic retinopathy detection task in the conformal risk control framework. -
Liver Steatosis Segmentation with Deep Learning Methods
Liver steatosis segmentation dataset with deep learning methods -
Radiopedia
A public dataset for COVID-19 lesion segmentation in CT scans. -
Coronacases
A public dataset for COVID-19 lesion segmentation in CT scans.
