Friday, 24 May, 2024




Deep Learning Based Ultrasound Image Classification for Improved and Better Medical Diagnosis

International Journal of Emerging Trends in Science and Technology

Volume 6 Issue 1

Published: 2020
Author(s) Name: S. Pradeep and S. Palanivel Rajan | Author(s) Affiliation: Dept. of Electronics and Communication Engg., M. Kumarasamy College of Engg., Karur, Tamil Nadu
Locked Subscribed Available for All


Ultrasound is the best imaging techniques for detection of abnormalities in the human body. Ultrasound is a medical imaging technique in which a transducer transmits and receives the ultrasound waves to and from the organs of the human body. Ultrasound waves are high-frequency wave ranges from 20 KHz to Giga Hertz. Ultrasound methods are non-invasive, pain-free and patient-friendly techniques. Detection of abnormalities using Ultrasound helps doctors to treat the patient. Abnormalities in liver, Breast, Kidney, Uterus, Heart, Liver, Nerves, Prostate found out using ultrasound techniques has a list of unidentifiable problems in Medical Images in traditional methods. Deep learning plays a vital role in the modern era for much problem identification in medical imaging and other domain.

Keywords: Classification, Convolutional neural network, Linear regression, Medical imaging, Random forest.

View PDF

Refund policy | Privacy policy | Copyright Information | Contact Us | Feedback ©, All rights reserved