225 datasets found

Medical image segmentation dataset

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

The HRF dataset contains 45 images, which is divided into 15/15/15 images for healthy patients, patients with diabetic retinopathy and glaucomatous patients.

Two benchmark datasets for blood vessel segmentation in retinal images

Skin cancer segmentation using Segment Anything Model

The dataset is used for training and testing the proposed model.

The dataset is used for evaluating the performance of the proposed model.

The dataset is used for training and testing the proposed model.

AbdomenCT-1K dataset is a large-scale dataset of abdominal CT scans, annotated with four anatomical structures: liver, kidney, spleen, and pancreas.

The dataset in this paper comes from the database of the Ultrasound Imaging Department of Peking University Shenzhen Hospital.

The Thyroid Ultrasound Dataset consists of 422 left and 422 right thyroid ultrasound images, and the Breast Ultrasound Dataset comprises 604 left and 151 right breast ultrasound...

Automated nodule segmentation is essential for computer-assisted diagnosis in ultrasound images. Nevertheless, most existing methods depend on precise pixel-level annotations by...

A 3D CNN for automatic segmentation of the left atrial chamber in 3D gadolinium enhanced-MRI volumes of patients diagnosed with atrial fibrillation.

The dataset used in this paper is medical images from various sources including magnetic resonance imaging (MRI) and computed tomography (CT), without the need for pixel-wise...

Medical image segmentation dataset

The TCGA_LGG database is a repository of brain images for the study of lower grade gliomas.

Japan Society of Radiological Technology dataset provides 247 X-ray images of 1024 × 1024 size, containing lung, heart, and clavicle labels.

Automated cardiac diagnosis challenge dataset contains 100 samples, which we divided into 70 training samples, 10 validation samples, and 20 test samples.

Medical image segmentation plays a crucial role in advancing healthcare systems for disease diagnosis and treatment planning. The u-shaped architecture, popularly known as...

MS-UNet: A novel Transformer-based U-shaped medical image segmentation network called MS-UNet has been proposed. MS-UNet addresses the challenge of capturing semantic...