211 datasets found

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

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

The dataset used for medical image segmentation tasks, including multi-organ segmentation and few-shot learning.

The nnu-net dataset

The dataset used for prostate cross-site segmentation

Three medical image segmentation datasets: DRIVE, STARE, and CHASH_DB1.

A dataset for real-time prediction of segmentation quality.

A dataset for evaluating segmentation error without ground truth.

A dataset for pancreas segmentation.

A learnable weight initialization approach for volumetric medical image segmentation

Synthetic malaria dataset created based on the BBBC041v1 image set, used to model different domain shift scenarios.

The REFUGE2 dataset is a multi-annotated dataset for optic-cup segmentation. The dataset consists of 1200 fundus images, each annotated by seven radiologists.

Automated segmentation of ultrasound images can assist medical experts with diagnostic and therapeutic procedures. Although using the common modality of ultrasound, one...

The Internal Multi-Organ (IMO) dataset contains 85 CT-scans annotated with 7 classes.

The TCIA pancreas public dataset contains 82 CT-scans with pixel-level annotations.

Medical image segmentation remains particularly challenging for complex and low-contrast anatomical structures. In this paper, we introduce the U-Transformer network, which...

Cardiac dataset contains cardiac MRI scans with 3 annotated structures.

Medical image segmentation dataset for infant brain images

The OAI-ZIB dataset consists of 507 3D MR images with segmentations for femur, tibia, tibial cartilage, and femoral cartilage.

Heart MRI images dataset