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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels
A large chest radiograph dataset with labels for common thorax diseases. -
ChestX-ray14: A Large Chest Radiograph Dataset with Uncertainty Labels
A large chest radiograph dataset with labels for common thorax diseases. -
Multi-Label Continual Learning for Medical Imaging: A Novel Benchmark
A novel benchmark for multi-label image classification in medical imaging, combining new classes and domains into a challenging scenario. -
TCIA GBM MRI Images
The dataset used in this paper is a collection of lung cancer pathology images and brain tumor MRI images. -
NLST Lung Cancer Pathology Images
The dataset used in this paper is a collection of lung cancer pathology images and brain tumor MRI images. -
Topological Shape Analysis for Medical Images
The dataset used in this paper is a collection of lung cancer pathology images and brain tumor MRI images. -
A dataset of clinically generated visual questions and answers about radiolog...
A dataset of clinically generated visual questions and answers about radiology images. -
Med-HallMark
Med-HallMark is a benchmark for detecting and evaluating hallucinations in medical multimodal language models. -
3D Major Artery (3MA) Database
The 3D major artery (3MA) database contains 100 computed tomography angiography (CTA) scans of major arteries in the head and neck captured by TOSHIBA CT machine. -
Digital Retinal Images for Vessel Extraction (DRIVE)
The Digital Retinal Images for Vessel Extraction (DRIVE) database contains 40 2D color fundus images of retinal vessels with a size of 584 × 565, including 20 images for... -
CHM-NIST dataset
The CHM-NIST dataset is a real-world dataset used in the paper. -
MIDOG Dataset
The dataset used for the Mitosis Domain Generalization (MIDOG) challenge, containing histology images with annotated mitotic figures. -
Sacrum data-set
In-house collected dataset of 34 volunteers for ultrasound-guided robotic navigation -
Lightweight Residual Network for The Classification of Thyroid Nodules
99 images of benign and malignant thyroid nodules for classification -
C-NMC 2019 Challenge Dataset
The C-NMC 2019 challenge dataset consists of segmented white blood cell images of 69 ALL cancer patients and 49 healthy subjects. -
Breast Cancer Wisconsin (Diagnostics) dataset
The dataset used in this paper is the Breast Cancer Wisconsin (Diagnostics) dataset, which contains cytological characteristics of 699 breast fine-needle aspirates. -
Breast Cancer Wisconsin (Diagnostic) dataset
The Breast Cancer Wisconsin (Diagnostic) dataset is a collection of images of breast tissue, used for diagnostic purposes. The dataset consists of 569 images, each labeled with... -
Kaggle-25K
Publicly available dataset of head CT scans for intracranial hemorrhage detection
