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COVID-CT dataset
COVID-CT dataset that has been used in this study is publicly available. There are 349 images of COVID-19 collected from 216 patients. The non-COVID-19 data contains 397 samples. -
Brain Tumors Classification for MR images based on Attention Guided Deep Lear...
Brain MR dataset for tumor classification and source type classification -
Cross-modal Memory Networks for Radiology Report Generation
Radiology report generation using cross-modal memory networks -
Neounet: Towards accurate colon in Ad-polyp segmentation and neoplasm detection
Neounet: Towards accurate colon in Ad-polyp segmentation and neoplasm detection. -
Wm-dova maps for accurate polyp highlighting in colonoscopy
Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians. -
Hippocampus (HC) Segmentation dataset
The dataset used for the challenging task of volumetric whole brain segmentation. -
Multi-Atlas Labelling Challenge (MALC)
The dataset used for the challenging task of volumetric whole brain segmentation. -
BraTS 2021 dataset
The Brain Tumor Segmentation (BraTS) Challenge 2021 dataset, which provides a valuable resource for addressing challenges specific to resource-limited settings, particularly the... -
Anatomical Tracings of Lesions After Stroke (ATLAS)
The Anatomical Tracings of Lesions After Stroke (ATLAS) dataset is a collection of 229 T1-weighted normalized 3D MR images with diverse lesions manually segmented by specialists. -
Montgomery and Shenzhen Hospital Chest X-ray Dataset
Chest X-ray dataset from Montgomery and Shenzhen hospital for exploring best segmentation model -
NIH-AAPM-Mayo Clinic Low-Dose CT Grand Challenge dataset
Sparse-view computed tomography (CT) can be used to reduce radiation dose greatly but is suffers from severe image artifacts. -
Single-coil cardiac cine test dataset
The dataset used in this paper for dynamic MRI reconstruction. -
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction has been enhanced by advanced deep-learning techniques and effective tricks. Nevertheless, current methods are mainly trained with... -
AAPM-Mayo Clinic LDCT Grand Challenge dataset
Low dose computed tomography dataset used for training and testing the proposed TED-net model -
BreastMNIST
The BreastMNIST dataset is a breast ultrasound dataset for breast cancer detection. -
Breast Ultrasound Scan Images (BUSI)
Dataset of breast ultrasound images for image segmentation tasks. -
Segment Anything Model (SAM) for Medical Images
Three publicly available medical imaging datasets: Breast Ultrasound Scan Images (BUSI), CVC-ClinicDB, and ISIC-2016. -
Multi-level ConvLSTM for Left Ventricle Myocardium Segmentation
A multi-level ConvLSTM model for the automatic segmentation of left ventricle myocardium in infarcted porcine cine MR images -
BCS-DBT dataset
The BCS-DBT dataset is a publicly available dataset for breast cancer detection in digital breast tomosynthesis.
