Early Detection and Classification of Breast Cancer Using ML - Softcover

Narasimhaiah, P.; Nagaraju, C.

Softcover

ISBN 10: 620957503X ISBN 13: 9786209575037

Verlag: LAP LAMBERT Academic Publishing, 2026

Inhaltsangabe

The most common cancer among the women in the world with high mortality rate is breast cancer. Early detection and accurate classification of breast cancer are essential for improving patient survival and enabling timely clinical intervention. Machine learning techniques have been widely applied to analyze diagnostic data from mammography, ultrasound, magnetic resonance imaging, and histopathological examinations. Traditional machine learning methods use handcrafted features classified by algorithms such as Support Vector Machines and Random Forests, while deep learning models, particularly convolutional neural networks, automatically learn discriminative feature representations from raw data. Experimental studies show that these models can effectively distinguish between benign and malignant lesions with high accuracy, supporting radiologists in early-stage diagnosis.

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Über die Autorin bzw. den Autor

Dr. P. Narasimhaiah received the Ph.D. degree in CSE from Y. S. R. Engineering College, Y. V. U, Proddatur, Andhra Pradesh, India. He is currently serving as an Associate Professor in the Department of CSE at CBIT, Proddatur, Andhra Pradesh, India. He has over 22 years of teaching and research experience in the field of CSE.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 620957503X
• ISBN 13: 9786209575037
• Einband: Taschenbuch
• Anzahl der Seiten: 120
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland