Handbook of Texture Analysis : AI-Based medical imaging Applications. Volume II /

The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approa...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: El-Baz, Ayman S. (Editor), Ghazal, Mohammad (Editor), Suri, Jasjit S. (Editor)
Format: eBook
Language:English
Published: Boca Raton : CRC Press, 2024.
Edition:First edition.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1 An Exploratory Review on Local Binary Descriptors for Texture Classification 2 Precision Grading of Glioma: A System for Accurate Diagnosis and Treatment Planning 3 Enhancing Accuracy in Liver Tumor Detection and Grading: A Computer-Aided Diagnostic System 4 Texture Analysis in Radiology 5 Texture Analysis Using a Self-Organizing Feature Map 6 Sensor-Based Human Activity Recognition Analysis Using Machine Learning and Topological Data Analysis (TDA) 7 Application of Texture Analysis in Retinal OCT Imaging 8 Automation in Pneumonia Detection 9 Texture for Neuroimaging 10 A Multimodal MR-Based CAD System for Precise Assessment of Prostatic Adenocarcinoma 11 Texture Analysis in Cancer Prognosis