Classification in BioApps

This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges.

Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization.
In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.

Aceasta carte despre clasificarea in aplicatii de imagine biomedicala prezinta lucrari de cercetare originale si valoroase privind progresele in acest domeniu, care acopera taxonomia modelelor, standardelor, algoritmilor, aplicatiilor si provocarilor supravegheate si nesupravegheate. retele in aplicatii biomedicale, care abordeaza fundamentele retelelor neuronale artificiale, suporta masini vectoriale si alte clasificatoare avansate, precum si proiectarea si optimizarea acestora. Pe langa explorarea eforturilor recente in domeniul multidisciplinar al senzorilor, cartea introduce cititorilor definitii de baza si caracteristici, filtre de semnal si procesare, senzori biomedici si automatizarea sistemelor de biomasurare.