Early Detection and Classification of Breast Cancer Using ML (Paperback)

Language: English

Published by LAP Lambert Academic Publishing, 2026

620957503X / 9786209575037

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Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Title
Early Detection and Classification of Breast Cancer Using ML (Paperback)
Author
P. Narasimhaiah
Publisher
LAP Lambert Academic Publishing
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
620957503X
ISBN 13
9786209575037

CitiRetail

Stevenage, United Kingdom

5-star seller

AbeBooks seller since June 29, 2022

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