-
Low Dose CT Image and Projection Data
A dataset of low-dose CT images -
The Cancer Imaging Archive (TCIA) - Low Dose CT Image and Projection Data
A dataset of low-dose CT images and projection data -
Montgomery and Shenzen datasets
A dataset of chest X-rays from Montgomery and Shenzen hospitals, containing 336 normal cases and 326 tuberculosis cases. -
COVID-19 detection using chest X-rays: is lung segmentation important for gen...
A large DNN, containing 3 stacked modules. The segmentation module is an U-Net, trained beforehand to receive X-rays and output segmentation masks. -
A novel approach for multi-label chest X-ray classification of common thorax ...
A novel approach for multi-label chest X-ray classification of common thorax diseases. -
Mitosis domain generalization challenge
The MIDOG Challenge was a competition on mitosis detection held at the International Conference on Medical Image Computing and Computer Assisted Intervention, 2021. -
Chest X-ray8: Hospital-scale chest x-ray dataset with multi-label annotated r...
A hospital-scale chest x-ray dataset with weakly-supervised classification and localization of common thorax diseases -
Padch-arXiv preprint est: A large chest x-ray image dataset with multi-label ...
A large chest x-ray image dataset with multi-label annotated reports -
OASIS dataset
The dataset consists of T1-weighted brain MRI images of adults, with manual segmentation of anatomical structures provided. -
ARFI dataset
The dataset used in the paper for Multiple Track Location Shear Wave Elasticity Imaging (MTL-SWEI) using acoustic radiation force impulse (ARFI) method. -
Ultrafast S-WAVE dataset
The dataset used in the paper for 3D shear wave absolute vibro-elastography (S-WAVE) imaging, including phantom and ex vivo data. -
CAMELYON-16
The CAMELYON-16 dataset is a public dataset for whole slide image analysis, containing 16,000 whole slide images of breast cancer histopathology slides. -
COVID-19 Chest CT Dataset
A large-scale dataset of chest CT scans for COVID-19 diagnosis and triage -
Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Noisy ultrasound images were represented as one of the major challenges in medical diagnosis. Regarding that, stemming from denoising diffusion probabilistic models, a denoising... -
SAH dataset
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
Hepatitis Patients dataset consists of 20 features and 155 observations
