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Abdominal Multi Organ Segmentation 2022 (AMOS2022) challenge dataset
The Abdominal Multi Organ Segmentation 2022 (AMOS2022) challenge dataset contains 500 CT and 100 MRI scans collected from multiple sites, a wide range of imaging conditions, and... -
Glioma Growth Dataset
An in-house dataset containing a total of 199 longitudinal MRI scans from 38 patients suffering from glioma -
The Cancer Imaging Archive (TCIA)
The dataset used in this study is from the Brain Tumor Radiogenomic Classification challenge (Baid et al., 2021) that includes multi-parametric MRI (mpMRI) scans for 585... -
Brain Tumor Radiogenomic Classification challenge
The dataset used in this study is from the Brain Tumor Radiogenomic Classification challenge (Baid et al., 2021) that includes multi-parametric MRI (mpMRI) scans for 585... -
Osteoarthritis Initiative (OAI) dataset
Knee OsteoArthritis (KOA) dataset used for early detection of KOA (KL-0 vs KL-2) using Vision Transformer (ViT) model with selective shuffled position embedding and key-patch... -
CANDI Dataset
The dataset used for testing the proposed Project & Excite (PE) module for whole-brain segmentation of MRI scans and whole-body segmentation of CT scans. -
ADNI-29 Dataset
The dataset used for testing the proposed Project & Excite (PE) module for whole-brain segmentation of MRI scans and whole-body segmentation of CT scans. -
MALC Dataset
The dataset used for training and testing the proposed Project & Excite (PE) module for whole-brain segmentation of MRI scans and whole-body segmentation of CT scans. -
BraTS and MVTec AD datasets
The dataset used in the paper is a combination of medical images, including T1, T2, and Flair MRI scans from BraTS, and images from MVTec AD. -
ABIDE Dataset
The dataset used in this paper for brain age estimation from MRI scans. -
CHAOS CT and MRI dataset
The dataset used in this work, consisting of CT scans of the abdominal region from the CHAOS challenge, and MRI scans of the same region from the CHAOS challenge.
