Real and synthetic abdominal ultrasound scans, with manual segmentations.

Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images. Breast ultrasound images can produce great results in ...

The Medical Segmentation Decathlon is a collection of medical image segmentation datasets. It contains a total of 2,633 three-dimensional images collected ...

2 мая 2024 г. · We introduce a PSFHS dataset comprising 1358 images, meticulously annotated at the pixel level. The annotation process adhered to standardized protocols.

A list of publicly available medical image segmentation dataset. License. MIT license · 39 stars 3 forks Branches Tags Activity.

The dataset consists of 780 images with 647 labeled objects belonging to 2 different classes including benign and malignant.

24 сент. 2024 г. · ... A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation.

26 февр. 2024 г. · The proposed dataset is comprised of breast ultrasound images from 38 patients. It consists of 683 images, of which 174 are benign, ...

This dataset comprises micro-ultrasound scans and human prostate annotations of 75 patients who underwent micro-ultrasound guided prostate biopsy at the ...

The dataset consists of 780 images with an average image size of 500 × 500 pixels. The images are in PNG format. The images are categorized into three classes.