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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. -
Lightweight Transformer Backbone for Medical Object Detection
Lesion detection in digital breast tomosynthesis (DBT) is an important and a challenging problem characterized by a low prevalence of images containing tumors. -
University Medical Center Utrecht
Pulmonary lobes segmentation dataset used for training and validation of the proposed method -
PARSE 2022 Grand Challenge Dataset
The dataset is provided by PARSE 2022 Grand Challenge. The dataset contains 200 3D volumes provided in compressed NIFTI (.nii.gz) format and with refined pulmonary labels. -
0.36T MRI dataset
The 0.36T MRI dataset was acquired at the University College Hospital, Ibadan, Nigeria. -
Chest CT Scans Dataset
The dataset used in the paper is a chest CT scans dataset, which consists of 100 patients.
