766 datasets found

Lightweight vision transformer for US segmentation.

In silico bone US simulation framework that synthesizes realistic US images from diagnostic CT volume.

Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.

The dataset for blood biomarkers contains features from blood tests.

The dataset for electrical impedance tomography (EIT) contains features from breast tissue biopsies.

The dataset for thermography contains IR images (digitalized mammograms and clinical data) obtained from patients of the Antonio Pedro University Hospital.

Breast cancer is one of the most threatening diseases in women’s life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient’s life....

The Total Segmentator dataset contains 1204 CT images with labels of 104 anatomical structures.

The NIH-Lymph Node (NIH-LN) dataset includes 176 chest-abdomen-pelvis CT scans.

The ChestX-ray dataset is a collection of chest X-ray images with annotations for lung nodules and other abnormalities.

Deep neural networks for fast segmentation of 3d medical images

Multimodal models trained on large natural image-text pair datasets have exhibited astounding abilities in gener-ating high-quality images. Medical imaging data is fundamentally...

Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks

A dataset of chest X-ray images with radiologic reports

A multimodal large language model for interpreting chest X-ray images

The FFDM dataset is a full-field digital mammography dataset used for training and testing the proposed method.

The DDSM dataset is a public mammogram dataset used for training and testing the proposed method.

Kidney segmentation using 3D U-Net localized with Expectation Maximization

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

Photoacoustic tomography (PAT) is a rapidly-evolving med-ical imaging modality that combines optical absorption contrast with ultrasound imaging depth. One challenge in PAT is...