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ClinicDB, ColonDB, ETIS, Kvasir, CVC-300, BUSI, GlaS, Fluidchallenge
The dataset used for polyp segmentation in endoscopic images, gland segmentation in histology images, breast cancer segmentation in ultrasound images, and fluid region... -
Vestibular Schwannoma MRI Segmentation
The dataset used for vestibular schwannoma MRI segmentation -
MSD Spleen
The MSD Spleen dataset consists of n = 61 portal-venous phase contrast-enhanced abdominal CT scans, out of which n = 41 (67%) contained annotations for the spleen. -
Medical Segmentation Decathlon (MSD)
The Medical Segmentation Decathlon (MSD) is a collection of 10 benchmark datasets for segmentation spanning different body parts and modalities. -
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks
Semantic segmentation for medical 3D image stacks enables accurate volumetric reconstructions, computer-aided diagnostics and follow up treatment planning. -
MM-WHS2017
The dataset used in this paper for whole heart segmentation task -
Macular Hole Segmentation
Macular hole segmentation dataset using 3D U-Net architecture -
RIGA+ dataset
The RIGA+ dataset is a multi-domain joint optic disc (OD) / optic cup (OC) segmentation dataset annotated by six ophthalmologists. -
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical S...
Multi-organ medical image segmentation is crucial for diagnosis and treatment planning. However, many methods including variability in different factors complicate the task,... -
BraTS 2020
Automatic segmentation of brain tumors is an essential but challenging step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis,... -
Spleen CT segmentation dataset
Spleen CT segmentation dataset -
Brain tumour MRI segmentation dataset
Brain tumour MRI segmentation dataset -
Fundus and Prostate image segmentation
Fundus and Prostate image segmentation datasets -
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. -
MICCAI BRATS dataset
The MICCAI BRATS dataset is a fully-annotated dataset for brain tumor segmentation. It contains 220 high-grade subjects and 54 low-grade subjects with four modalities: T1, T1c,... -
Verse: A Vertebral Labeling and Segmentation Benchmark for Multi-Detector CT ...
A vertebral labeling and segmentation benchmark for multi-detector CT images.
