Deep Learning Methods for Retinal Blood Vessel Image Extraction

ISBN-13: 9786204752228 / Angielski / Miękka / 148 str.

Shafiulla Basha Shaik; Venkata Ramanaiah Kota

Opis

The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques.

O autorze

Shaik, Shafiulla BashaDr. Shafiulla Basha. Shaik., Assistant Professor, Y.S.R. Engg. College of Yogi Vemana University, Proddatur. Y.S.R (Dist), Andhra Pradesh, India - 516360, with a Teaching Experience of over 15 Years, Holds an M.Tech in Electronics and Communication Engineering from JNTU, Hyderabad, and Ph.D in Biomedical Image Processing from Yogi Vemana University