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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. -
fastMRI, SMS, and uMRI datasets
The dataset used in the paper is fastMRI, SMS, and uMRI datasets. The fastMRI dataset is a large open-access MRI dataset. The SMS dataset is a dataset of T1WI and T2WI images.... -
Kvasir-seg
Polyp segmentation dataset -
Duke University dataset
Segmentation of retinal OCT B-scans into 7 retinal layers and accumulated fluid. -
Visceral dataset
Abdominal organ segmentation in 20 test ceCT scans of the Visceral dataset. -
Multi-Atlas Labeling Challenge (MALC) dataset
Three challenging medical applications: whole-brain, whole-body and retinal layer segmentation. -
Prostate MRI dataset
The prostate MRI dataset is a collection of diffusion-weighted MRI images of prostate cancer patients. -
Esophageal Gross Tumor Volume Segmentation using a 3D Convolutional Neural Ne...
Esophageal gross tumor volume segmentation using a 3D convolutional neural network -
Esophageal GTV Segmentation using a 3D Convolutional Neural Network
Esophageal GTV segmentation using a 3D convolutional neural network -
Chest X-ray Dataset
The dataset used in this study comprises X-ray images representing pneumonia cases and those depicting normal conditions. -
Head and Neck FDG PET-CT TCIA Dataset
A dataset used for outcome prediction in head and neck cancer -
Head-Neck-PET-CT
A public TCIA head and neck cancer dataset used for outcome prediction -
Multi-view analysis of unregistered medical images using cross-view transformers
Multi-view analysis of unregistered medical images using cross-view transformers. -
TCGA-NSCLC
The TCGA-NSCLC dataset includes two sub-types of lung cancer, Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC). -
MIMIC-CXR-JPG
MIMIC-CXR-JPG dataset comprises 227,835 imaging studies conducted on 64,588 patients who sought treatment at the BIDMC Emergency Department from 2011 to 2016. -
Radiation Oncology Segment Anything Model (SAM) Dataset
The dataset used in this study for evaluating the performance of the Segment Anything Model (SAM) in clinical radiotherapy. -
Brain Metastasis and Various Disease Dataset
A non-longitudinal, heterogeneous 1.5T/3.0T MRI dataset of 190×224/216×256/256×256/460×460 T1c brain axial MRI slices for detecting brain metastases/various diseases. -
Our Own Dataset
The dataset used for prostate cancer segmentation and detection using Mask-RCNN model. -
PROSTATEx-2 Challenge
The dataset used for prostate cancer segmentation and detection using Mask-RCNN model.
