Morphological Diagnosis in Hematology
Red Blood Cell Disorders – Morphological Patterns and Digital Analysis
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Beschreibung
Morphological changes in erythrocytes provide important diagnostic clues that can facilitate the timely diagnosis and appropriate management of affected individuals. Furthermore, specific laboratory and diagnostic tests can be used to confirm the underlying disorder. The advent of machine learning and artificial intelligence has further accelerated and enhanced this diagnostic process by enabling the automated analysis of erythrocyte morphological features.
This book integrates traditional microscopic assessment of erythrocyte morphology with emerging applications of machine learning and artificial intelligence, providing readers with a comprehensive and more precise approach to the diagnosis of erythrocyte disorders.
Morphological changes in erythrocytes provide important diagnostic clues that can facilitate the timely diagnosis and appropriate management of affected individuals. Furthermore, specific laboratory and diagnostic tests can be used to confirm the underlying disorder. The advent of machine learning and artificial intelligence has further accelerated and enhanced this diagnostic process by enabling the automated analysis of erythrocyte morphological features.
This book integrates traditional microscopic assessment of erythrocyte morphology with emerging applications of machine learning and artificial intelligence, providing readers with a comprehensive and more precise approach to the diagnosis of erythrocyte disorders.
Bridges the critical gap between traditional microscopy expertise and AI-driven diagnostics in hematopathology Features practical implementation frameworks for integrating machine learning into routine laboratory workflows Includes annotated image libraries that serve as both diagnostic references and AI training resources
Autor*in
Akbar Dorgalaleh
Themen in »Morphological Diagnosis in Hematology«
Hematological Image Analysis Digital Hematopathology AI-assisted Blood Cell Morphology Analysis Machine Learning Anemia Diagnosis AI Hematology Diagnostics Digital Microscopy Blood Cells Deep Learning Blood Cell Identification