£95.50

Springer - Computer-Aided Analysis of Gastrointestinal Videos

Name: Springer - Computer-Aided Analysis of Gastrointestinal Videos
Brand: Springer
Price: 95.5 GBP
Availability: InStock

AI & Machine Learning

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Description

This professional text from Springer provides a deep look into the GIANA challenge, offering a summary and detailed analysis of results from 20 participating teams. As medical technology advances, the ability to identify gastrointestinal diseases early is a major factor in improving patient survival rates. This book addresses the need for efficient screening methods to locate precursor lesions effectively. While video colonoscopy and wireless capsule endoscopy (WCE) remain the gold-standard tools for screening the colon and intestinal tract, these methods have inherent drawbacks. This work explores how computer-aided analysis can support these diagnostic processes. It serves as a valuable resource for researchers and professionals interested in the intersection of medical imaging and computational analysis, focusing on improving the accuracy and speed of gastrointestinal disease detection.

Key Features

Provides a comprehensive summary and performance analysis of the 20 teams that participated in the GIANA challenge.

Explores advanced methods for the early and accurate diagnosis of gastrointestinal diseases to aid patient survival.

Offers technical insights into efficient screening processes used to locate precursor lesions in the intestinal tract.

Examines the current standards of care, including video colonoscopy and wireless capsule endoscopy (WCE).

Discusses the limitations and drawbacks of existing gold-standard screening tools in modern medicine.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 3030643395
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 10 July 2021
Listed Since: 21 October 2020

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Springer - Computer-Aided Analysis of Gastrointestinal Videos

Same price for 5 weeks. Today is much like next week.

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