• ВХОД
  •  

    Полное описание

    AI innovation in medical imaging diagnostics / Kalaivani Anbarasan, editor. - Hershey, PA : Medical Information Science Reference, [2020]. - 15 p. - URL: https://cat.gpntb.ru/?id=FT/ShowFT&sid=e6dbf7e4c24d76f685d637c75e0d9fae. - Includes bibliographical references and index. - ISBN 1799830934. - ISBN 9781799830931. - Текст : электронный.
    Содержание:
    Ant colony optimization (ACO) based improved edge detection algorithm for segmentation of brain tumor / Devi Thiyagarajan, Deepa Narayanan -- Intelligent mental health analyzer by biofeedback : app and analysis / Rohit Rastogi, Devendra Chaturvedi, Mayank Gupta -- Deep learning based assistive healthcare application for cervical cytology diagnosis and prognosis / Elakkiya, R. -- Detection of tumor from brain MRI images using supervised and unsupervised methods / Kannan, S., Anusuya, S. -- Deep learning based Parkinson's disease prediction system / Padmapriya, G., Elakkiya, R., Aruna, M., Arthi, B. -- A novel method to diagnos the epileptic seizure using machine learning algorithms and scalp EEG signals / Rashmita Khilar -- An automated computer diagnosis system for women breast cancer using deep learning / Kalaivani Anbarasan, Charlyn Puspalatha -- Artificial intelligence perspective on precision medicine / Rehab A. Rayan -- Intracranial hemorrahage detection using convolutional neural network / M. Raja Suguna -- Machine learning algorithm for medical image analysis / M. Vinoth Kumar, G. Padmapriya -- Machine learning in health care / Debasree Mitra, Apurba Paul, Sumanta Chatterjee.
    Рубрики:
    Artificial Intelligence
    Diagnostic Imaging -- methods
    Deep Learning
    Machine Learning
    Artificial intelligence
    Diagnostic imaging

    Аннотация: This book examines the application of artificial intelligence in medical imaging diagnostics.
    Доп. точки доступа:
    Anbarasan, K.\editor.\

    Полный текст


    Держатели документа:
    Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1127062427)

    Шифр в сводном ЭК: de14c2fbcda0f9713da2daad4b05f735



    Просмотр издания