116 datasets found

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.

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.

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

A recent study FairSeg proposes the first fairness dataset for medical segmentation, including 10,000 SLO fundus images from 10,000 patients with pixel-wise disc and cup...

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

Heart MRI images dataset

The Medical Segmentation Decathlon dataset

Medical image segmentation on edge devices

Breast UltraSound Images (BUSI) and private Thyroid UltraSound dataset used for medical ultrasound segmentation.

The dataset used for the OD/OC segmentation task and the polyp segmentation task.

The NIH dataset contains 14 different diseases, including pneumonia, and is used for training and testing machine learning models.

Skin cancer segmentation and lung lesion segmentation datasets