Полное описание
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Handbook of research on applied intelligence for health and clinical informatics / Anuradha Thakare, Sanjeev Wagh, Manisha Bhende, Ahmed Anetr, and Xiao-Zhi Gao, editors. - Hershey, PA : Medical Information Science Reference, [2021]. - 23 p. - URL: https://cat.gpntb.ru/?id=FT/ShowFT&sid=bd9dde8ddd9b3f62dc8c080348811f2b. - Includes bibliographical references and index. - ISBN 9781799877103. - ISBN 1799877108. - ISBN 9781799877110. - ISBN 1799877116. - Текст : электронный.Содержание: >
Automated ICD Coding Using Deep Learning / Sagar Dhobale -- A Review on Social Distance & Face Mask Detector / Lokesh Giripunje, Arpita Patra, Riya Chaudhari, Aniket Sagar -- Decision Support Proposal for Imbalanced Clinical Data / Kevser Sahinbas -- Bone Tumor Detection Using Machine Learning / Deepak Mane -- A Novel Approach of Lung Tumor Segmentation using a 3D Deep Convolutional Neural Network / Shweta Tyagi, Sanjay Talbar, Abhishek Mahajan -- Ultrasonic Detection of Down Syndrome Using Multiscale Quantiser With Convolutional Neural Network / Michael Simon, Kavitha A.R. -- Detection of Lung Diseases Using Machine Learning and Deep Learning Techniques : An Analytical Study / Shravani Nimbolkar, Anuradha Thakare, Subhradeep Mitra, Omkar Biranje, Anant Sutar -- M2UNet++ A Modified Multi-Scale UNet++ Architecture for Automatic Liver Segmentation in Computed Tomography Images / Devidas Kushnure, Sanjay Talbar.
ГРНТИ | УДК | |
76.01 | 61 |
Рубрики:
Medical informatics -- Methods
Medical Informatics -- methods
Artificial Intelligence
Health Information Management -- methods
Медицина
Аннотация: This book focuses on the study of resources and methods for the management of healthcare infrastructure and information highlighting health and clinical data structure, behavior, and interactions of natural and engineered computational systems to helps researchers and practitioners learn further investigation and solutions.
Доп. точки доступа:
Thakare, A.\editor.\
Wagh, S.\editor.\
Bhende, M.\editor.\
Anetr, A.\editor.\
Gao, X.\editor.\
Держатели документа:
Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1240264829)>
Шифр в сводном ЭК: 675ed3dc3a216276e33cd37cbbc9cb11
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