118 datasets found

Planning CT and structure datasets for 120 intact prostate cancer patients were retrospectively selected and divided for 10-fold cross-validation.

The Isfahan MISP dataset, consisting of retinography and angiography images of diabetic patients.

A dataset of breast ultrasound images used for region of interest detection and lesion localization.

A dataset of breast ultrasound images.

Three public breast ultrasound datasets (BUSI, Dataset B, and STU) are used to evaluate the segmentation network performance.

The dataset used in this paper is the SIIM-ACR Pneumothorax Segmentation Challenge dataset, which contains 12,047 training images and 3,205 testing images.

The Monkeypox Skin Images Dataset (MSID) is a dataset of images of monkeypox and other skin conditions.

The dataset used in this study is a publicly available dataset for monkeypox disease recognition, which includes images of monkeypox and similar skin conditions.

A dataset of low-dose CT images used for training and testing low-dose CT reconstruction algorithms

The DeepLesion dataset is a large-scale dataset containing measurements and 2D bounding-boxes of over 32K lesions from a variety of body parts on computed tomography (CT) images.

The CHASE_DB1 dataset is a publicly available dataset for retinal vessel segmentation.

HARP dataset used for validation

CC-359 dataset used for validation

Hippocampus segmentation dataset used in the paper

The Pneumonia Detection dataset contains a collection of medical images of patients with and without pneumonia.

A dataset of 1090 annotated images for developing a deep learning model for placental segmentation.

The dataset used in this paper for tuberculosis (TB) prediction using synthetically generated computed tomography (CT) images.

MIMIC-CXR is a comprehensive collection of de-identified Chest X-ray (CXR) data acquired from Beth Israel Deaconess Medical Center in Boston, United States. MIMIC-CXR includes...