Machine Learning Methods in Biomedical Field : Computer-Aided Diagnostics, Healthcare and Biology Applications (Studies in Computational Intelligence)

個数：

Machine Learning Methods in Biomedical Field : Computer-Aided Diagnostics, Healthcare and Biology Applications (Studies in Computational Intelligence)

Moya-Albor, Ernesto (EDT)/ Ponce, Hiram (EDT)/ Brieva, Jorge (EDT)

ウェブストア価格 ¥49,249（本体¥44,772）
Springer International Publishing AG（2025/09発売）
外貨定価 US$ 219.99
ポイント 447pt

在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合がございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版／ページ数 460 p.
言語 ENG
商品コード 9783031963278

Full Description

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.

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.