112 datasets found

A general model for medical image segmentation that can solve unknown medical image segmentation tasks without requiring additional training.

This study employs a diverse range of post-processed, multi-annotated medical image segmentation datasets, which exhibit significant variations in the ground truth, to train and...

This study employs a diverse range of post-processed, multi-annotated medical image segmentation datasets, which exhibit significant variations in the ground truth, to train and...

The QUBIQ dataset is a multi-rater, multi-center, multi-modality dataset that includes both 2D and 3D segmentation tasks. It features various modalities such as MRI and CT;...

The TVUS dataset is used for evaluating the proposed method.

Medical image segmentation models are mostly hybrid, which integrate self-attention and convolution layers into the non-isomorphic architecture.

The Prostate dataset is a diverse collection of T2-weighted MRI prostate images and corresponding masks, spanning six distinct domains.

The Medical Segmentation Decathlon dataset is a benchmark for medical image segmentation, containing 131 CT volumes.

ISLES 2017 dataset is used for medical image segmentation

Polyp Segmentation in Endoscopic Images dataset, RETOUCH dataset

Nuclei Segmentation dataset for medical image segmentation.

Lung Segmentation dataset for medical image segmentation.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, ImageNet, CUB-200-2011, and Stanford Dogs datasets.

Four image datasets for medical image segmentation: thyroid nodule, liver and kidney, breast lesion, and skin lesion.

The proposed 2D-3D FCN ensemble is constructed in two phases as shown in Fig. 1. In Phase I, the 2D FCN and 3D FCN architectures are adapted to the specific dataset using a...

nnu-net: Self-adapting framework for u-net-based medical image segmentation.

A dataset for medical image segmentation with limited annotations

Four medical image segmentation datasets, covering various imaging modalities such as colonoscopy, dermoscopy, and microscopy.

The COSMOS 553K dataset is a large-scale medical image segmentation dataset.

A dataset for the development and evaluation of segmentation algorithms for various medical imaging modalities.