Indian Journal of Sustainable Development

2020 | Volume 6 | Issue 1

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

1. S. Pradeep And S. Palanivel Rajan – Dept. Of Electronics And Communication Engg., M. Kumarasamy College Of Engg., Karur, Tamil Nadu

Received
21-Jul-2020 		Accepted
- 		Published
21-Jul-2020
Abstract
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.
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