Approaches and applications of deep learning in virtual medical care [electronic resource] / Noor Zaman, Loveleen Gaur, Mamoona Humayun.
- 其他作者：
- 出版： Hershey, PA : IGI Global 2022
- 叢書名： Advances in healthcare information systems and administration (AHISA) book series,
- 主題： Diagnostic Techniques and Procedures. , Deep Learning. , Telemedicine. , Models, Statistical.
- ISBN： 9781799889304 (ebk.) 、 9781799889298 (hbk.)
- URL：
點擊此處查看電子書
點擊此處查看電子書
- 一般註："Premier reference source"--Cover. Includes bibliographical references and index. New Techniques for Efficiently Detecting Brain Tumor : New Techniques for Efficiently Detecting Brain Tumor / Soobia Saeed, Afnizanfaizal Abdullah, NZ Jhanji -- Virtual Technical Aids to Help People with Dysgraphia / Navirah Kamal, Pragati Sharma, Rangana Das, Vipul Goyal, Richa Gupta -- Application of Deep Learning in Epilepsy : A Catalyst in Better Diagnosis of Epileptic Seizures and Prevention / Gauri Sharma -- Overview and Analysis of Present-Day Diabetic Retinopathy (DR) Detection Technique / Smita Das, Swanirbhar Majumder -- Computational Statistics on Stress Patients with happiness and Radiation Indices by Vedic Homa Therapy : A knowledge Based Approach to Get Insights in Global Pandemic / Rohit Rastogi -- Importance of Deep Learning Models In Medical Imaging Field / Preeti Sharma -- www: www / Smita Das. 111年度臺灣學術電子書暨資料庫聯盟採購
-
讀者標籤：
- 系統號： 000298970 | 機讀編目格式
館藏資訊
The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Approaches and Applications of Deep Learning in Virtual Medical Care considers the applications of deep learning in virtual medical care and delves into complex deep learning algorithms, calibrates models, and improves the predictions of the trained model on medical imaging. Covering topics such as big data and medical sensors, this critical reference source is ideal for researchers, academicians, practitioners, industry professionals, hospital workers, scholars, instructors, and students.
摘要註
"The book will focus on Innovative approaches for medical sensor/image data analysis, event detection, segmentation, and abnormality detection, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and medical image registration using deep learning"--
