| 書(shū)目名稱 | Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy |
| 編輯 | A. Shanthini,Gunasekaran Manogaran,G. Vadivu |
| 視頻video | http://file.papertrans.cn/265/264533/264533.mp4 |
| 概述 | Outlines a detailed overview of diabetic retinopathy, symptoms, causes and screening methodologies.Presents a deep learning approach to automatically detect diabetic retinopathy from captured retina i |
| 叢書(shū)名稱 | Series in BioEngineering |
| 圖書(shū)封面 |  |
| 描述 | .This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.. |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Diabetic Retinopathy (DR); Optical Coherence Tomography (OCT); Non Proliferative Diabetic Retinopathy |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-19-3877-1 |
| isbn_softcover | 978-981-19-3879-5 |
| isbn_ebook | 978-981-19-3877-1Series ISSN 2196-8861 Series E-ISSN 2196-887X |
| issn_series | 2196-8861 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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