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Test Medical Radiology Images
8,000 medical radiology images -
Medical Radiology Images
30,000 medical radiology images -
PACS repository archive of the Clinical Hospital Centre Rijeka
PACS repository archive of the Clinical Hospital Centre Rijeka -
Totalsegmentator
Robust segmentation of 104 anatomical structures in CT images. -
Automated Renal Segmentation
Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network. -
Segment Anything in Medical Images
Segment Anything in medical images. -
Segment Anything
Segment Anything (SAM) model for semantic segmentation of medical images. -
OPTIMA cyst segmentation challenge (OCSC) dataset
The OPTIMA cyst segmentation challenge (OCSC) dataset analyzed in this work contains OCT image stacks acquired by a variety of imaging vendors. -
OCSC dataset
The OCSC dataset contains OCT image stacks acquired by a variety of imaging vendors, where, each image is manually annotated by two manual graders/annotators. -
Corneal Endothelium
A dataset of specular microscopy images of the corneal endothelium for cell segmentation. -
Detecting outliers with Poisson image interpolation
The PII dataset is a benchmark for outlier detection in medical images -
Dataset for Evaluation of Ophthalmologists
A dataset of 362 images for evaluation of ophthalmologists' performance and competition between ophthalmologists and AI diagnostic system. -
Clinical Digital Images Dataset
A large, well-annotated slit lamp microscopic image dataset of 115,408 images in total from 10,609 corneal disease patients. -
Kermany et al. dataset
Publicly available biomedical image dataset used for training a deep learning model -
Kvasir-SEG: A Segmented Polyp Dataset
Kvasir-SEG: an open-access dataset of gastrointestinal polyp images and corresponding segmentation masks, manually annotated by a medical doctor and then verified by an... -
Malaria Cell Images Dataset
Malaria Cell Images Dataset -
COVID-19 Radiography Database
COVID-19 pandemic has spread rapidly and caused a shortage of global medical resources. The efficiency of COVID-19 diagnosis has become highly significant. -
RIM-ONE-r3 Dataset
The RIM-ONE-r3 dataset contains 60 test images. -
Refuge Challenge Data Set
The Refuge challenging data set contains 400 train, 400 validation, and 400 test images.
