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RIM-ONE-r2 and DRISHTI-GS datasets for glaucoma classification
Two publically available datasets namely RIM-ONE-r2 and DRISHTI-GS were chosen for this study. -
CMR×Recon MICCAI-2023 challenge
Cardiac image segmentation dataset -
Diffusion-based generation of Histopathological Whole Slide Images at a Gigap...
We present a novel diffusion-based approach to generate synthetic histopathological Whole Slide Images (WSIs) at an unprecedented gigapixel scale. -
CT-GAN Attack Dataset
A dataset of 70 tampered and 30 authentic CT scans for evaluation of CT-GAN attack -
LIDC-IDRI Lung Cancer Screening Trial
A dataset of 888 CT scans collected in the LIDC-IDRI lung cancer screening trial -
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning
A deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences. -
AAPM 256×256
The dataset used in this paper for 3D CT reconstruction. -
LIDC Dataset
The Lung Image Database Consortium (LIDC) image collection dataset contains images of the lung. -
AAPM Dataset
The AAPM dataset DICOM Full Dose data was acquired at 120kV and 200mAs in the portal venous phase using a Siemens SOMATOM Flash scanner. -
Axial-MLP dataset for choroid plexus segmentation
A dataset of 141 subjects (44 controls and 97 patients with MS) for automatic segmentation of choroid plexus in multiple sclerosis -
Stanford AIMI Coronary Calcium (COCA) dataset
The Stanford AIMI Coronary Calcium (COCA) dataset is used for heart CTCA images. COCA contains 787 3D coronary CT images. Each 3D image has a different number (ranging from 27... -
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss
COVID-19 CT dataset for automated diagnosis and severity assessment of COVID-19 -
COVIDx dataset
The COVIDx dataset is a combination of many publicly available datasets for COVID-19 image classification. -
RSNA Pneumonia Detection Challenge dataset
The RSNA Pneumonia Detection Challenge dataset comprises 30,000 frontal-view CXR images, with each image labeled as “Normal,” “No Opacity/Not Normal,” or “Opacity” by one to... -
Multimodal Brain Tumor Image Segmentation Challenge (BraTS) 2018
Multimodal Brain Tumor Image Segmentation Challenge (BraTS) 2018 dataset used for brain tumor segmentation and overall survival prediction.
