Machine Learning Methods in Biomedical Field : Computer-Aided Diagnostics, Healthcare and Biology Applications / edited by Ernesto Moya-Albor, Hiram Ponce, Jorge Brieva, Sandra L. Gomez-Coronel, Diego Renza Torres.

Format:

Book

Author/Creator:

Moya-Albor, Ernesto.

Contributor:

Ponce, Hiram.

Brieva, Jorge.

Gomez-Coronel, Sandra L.

Torres, Diego Renza.

Series:

Studies in Computational Intelligence, 1860-9503 ; 1218

Language:

English

Subjects (All):

Computational intelligence.

Biomedical engineering.

Artificial intelligence.

Computational Intelligence.

Biomedical Engineering and Bioengineering.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Biomedical Engineering and Bioengineering.

Artificial Intelligence.

Physical Description:

1 online resource (620 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book provides an in-depth exploration of machine learning techniques and their biomedical applications, particularly in developing intelligent computer-aided diagnostic systems, creating groundbreaking healthcare technologies, uncovering novel biological applications, and fostering sustainable health solutions. Integrating artificial intelligence, mathematical modeling, and emergent systems, this book highlights the profound impact of these advanced tools in not only enhancing problem-solving within the biomedical field but also in catalyzing the development of novel solutions. This book is a valuable resource for readers interested in understanding the revolutionary impact of novel machine learning methodologies on the biomedical landscape. Furthermore, it offers a blend of theory and practical applications for those interested in biomedical education and training, biology, medicine, and sustainable health development.

Contents:

Edge-enhanced Knowledge Distillation System for Diabetic Retinopathy Lesions Computer-Aided Diagnosis

Development of a Mobile Application for Dermatological Diagnosis Using Image Recognition: The DermAware Case Study

Measuring the Diameter of Coronary Arteries via Skeletonization using a U-Net Architecture

Deep Belief Networks for Efficient Macular Edema Detection in Retinal Fundus Images

Automatic Spatial Localization of Coronary Stenosis in X-ray Angiograms Using Deep Learning

Deep Learning for Pediatric Right Ventricle Segmentation in Echocardiography: Challenges and Strategies

Challenges and Advances in Digital Processing of Fetal Phonocardiography Signal: A Review

Implications of Model Loss and Configuration for Sparse Histological Segmentation

Metaheuristic Strategy in Automatic Robotics Navigation for Patient Care in Hospitals

Orthosis Control based on Electromyographic Signals and Machine Learning

Internet of Medical Things Focused on Home Hospitalization for Diagnostic and Monitoring Support

Automatic Robotics Medication Delivery System: The ANDIS Case Study

Making Better Medical Decisions Using Machine Learning: A Bayesian Model

Determining the Influence of Socioeconomic and Clinical Factors in Diabetes in the Mexican Population Using Machine Learning Techniques

Sphonic: Development of a Mobile Application Using AI and AR for Learning Biomedical Concepts

A Case Study on Pigmentation of Marine Species in Captivity and a Possible Application of AI to Marine Biomedical Research

Ligand-based Virtual Screening Workflow for Antimalarial Repositioning from Known Drugs and Chemical Libraries

Redefining Care: Hospitals’ Pivotal Role in Sustainable Development

Cutting-Edge Technologies: Driving Sustainability in Hospital Operations.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-96328-8

9783031963285

OCLC:

1547930196