112 datasets found

The NIH pancreas segmentation dataset contains 82 abdominal CT volumes. The width and height of each volume are 512, while the axial view slice number can vary from 181 to 466....

The dataset used for training and validation of the EigenRank algorithm for data subset selection and failure prediction in deep learning based medical image segmentation.

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.

Medical image segmentation using the proposed AgileFormer model

A novel domain adaptation framework for medical image segmentation

A dataset for multi-organ segmentation problem, filling the gap of extendable multi-domain learning in image segmentation.

The dataset used for medical image segmentation.

The dataset used for medical image segmentation.

The dataset used in this paper is a collaborative filtering dataset, specifically the Million Song Dataset (MSD), which contains listening counts from 1 million users on 50,000...

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.

The MSD Liver dataset consists of n = 201 portal-venous phase contrast-enhanced abdominal CT scans, out of which n = 131 (65%) contained annotations for the liver and liver tumors.

The Medical Segmentation Decathlon (MSD) is a collection of 10 benchmark datasets for segmentation spanning different body parts and modalities.

Spleen CT segmentation dataset

Brain tumour MRI segmentation dataset

Fundus and Prostate image segmentation datasets

The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.

The dataset used for training and testing the DeepMediX model, which consists of brain MRI and skin cancer images.

A dataset of ischemic stroke lesion images.

A dataset of abdominal images.

A cardiac validation image.