Dear Arian Nazarzadeh ,

During the last decades, high-frequency ultrasound (HFUS, >20 MHz) has opened up new diagnostic paths in skin analysis, enabling visualization and diagnosis of superficial structures

Article High-Frequency Ultrasound Dataset for Deep Learning-Based Im...

Regards,

Shafagat

Arian Nazarzadeh Skin ultrasound pictures are included in various publicly available databases. Here are a couple of such examples:

1. The National Institutes of Health Ultrasound Skin Lesion Image Data Set contains approximately 1000 ultrasound pictures of skin lesions, including benign and malignant malignancies. The photographs came from a range of sources, including dermatologists, radiologists, and researchers. The dataset may be downloaded from the National Institutes of Health (NIH) website at https://www.nih.gov/node/329875.

2. A collection of ultrasound pictures of the carotid artery, which is positioned in the neck and delivers blood to the brain, is available in the UCI Machine Learning Repository. Photos from 40 patients were obtained, and they comprise both B-mode (brightness mode) and Doppler mode images. The dataset may be downloaded from the UCI Machine Learning Repository.https://archive.ics.uci.edu/ml/datasets/Ultrasound+Nerve+Segmentation

3. The Ultrasound Nerve Segmentation dataset contains nearly 600 ultrasound pictures of the median nerve in the wrist, as well as the manual segmentation masks that go with them. Photos from 20 participants were gathered, and they comprise both B-mode and Doppler-mode images. The dataset may be downloaded from Kaggle at https://www.kaggle.com/c/ultrasound-nerve-segmentation.

I hope you find this material useful! Please let me know if you have any more inquiries.

@Qamar Ul Islam

Thanks for your recommendation. The first link doesn't work. Could you please send me the right link?

@Shafagat Mahmudova

Thanks for your recommendation. sağol.

copy/paste this link into your browser:

https://data.mendeley.com/datasets/5p7fxjt7vs/1