£65.97

CRC Press Artificial Neural Networks in Cancer Diagnosis Book

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Description

Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management provides a comprehensive look at how neural networks serve as predictors of malignancy. While research on this topic is often scattered across various journals, this volume by CRC Press gathers essential work into one centralized resource. This book brings together insights from top researchers and clinicians to present state-of-the-art results. It covers the application of artificial neural networks across nearly all major areas of cancer. Readers will find detailed information regarding the diagnosis, prognosis, and management of the disease through these advanced computational methods. Designed for those in the biomedical engineering and AI fields, the text introduces the fundamental theory of neural networks and the specific methods used in clinical applications. It serves as a vital bridge between computer science and medical practice, offering a focused collection of case studies and research findings that define the current landscape of AI in oncology.

Key Features

Consolidates scattered research from multiple journals into a single, organized volume for easier access to clinical data.

Features contributions from top researchers and clinicians who specialize in applying neural networks to major cancer areas.

Covers the full spectrum of cancer care including diagnosis, prognosis, and patient management strategies.

Provides a foundational introduction to the theory of neural networks and their specific application methods.

Offers state-of-the-art case studies that demonstrate the practical use of ANNs in predicting malignancy.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 June 2001
Listed Since
05 February 2007

Barcode

No barcode data available

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