Revolutionising Medical Imaging with Computer Vision and Artificial Intelligence / edited by Seema Bhatnagar, Priyanka Narad, and Rajashree Das.

Format:

Book

Contributor:

Bhatnagar, Seema, editor.

Narad, Priyanka, editor.

Das, Rajashree, editor.

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (261 pages)

Edition:

First edition.

Place of Publication:

Newcastle upon Tyne, England : Cambridge Scholars Publishing, [2024]

Summary:

This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.

Contents:

Intro

Table of Contents

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 10

Chapter 11.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

1-03-641062-5