"ADVANCED BREAST CANCER DETECTION USING MACHINE LEARNING AND SEGMENTAT: "Harnessing Microwave Imaging for Improved Detection and Analysis" - Softcover

K, Anastraj; A, Rajaprabhu; S, Dharmaraj

 
9783659695810: "ADVANCED BREAST CANCER DETECTION USING MACHINE LEARNING AND SEGMENTAT: "Harnessing Microwave Imaging for Improved Detection and Analysis"
Softcover
ISBN 10: 3659695815 ISBN 13: 9783659695810
Verlag: LAP LAMBERT Academic Publishing, 2024

Inhaltsangabe

Breast cancer is the second leading cause of death among women, often undetected until it reaches advanced stages. Early identification is crucial, as accurate classification of benign and malignant tumors can prevent unnecessary treatments. This study explores the application of machine learning techniques for breast cancer diagnosis using the Wisconsin Breast Cancer Dataset from the UCI Repository.Initial experiments with the Naïve Bayes classifier yielded 88% accuracy for benign and 86% for malignant tumors. However, it faced limitations, such as low accuracy and issues with zero frequency probabilities. Switching to Artificial Neural Networks (ANN) improved results to 90% for benign and 92% for malignant classifications, but still did not yield optimal outcomes.The research ultimately employed Support Vector Machine (SVM) techniques, achieving the highest accuracy at 97% for benign and 95% for malignant tumors. This method effectively distinguishes between tumor types using a linear model based on hyperplanes. All algorithms were implemented using the R tool, which is user-friendly and free, facilitating data handling for breast cancer classification.

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Über die Autorin bzw. den Autor

Dr. Anastraj K. is the Head and Lecturer in the Department of Computer Science and Information Network System Engineering at St. Joseph University in Tanzania. With a strong focus on Artificial Intelligence, Machine Learning, Cloud Computing, and Fuzzy Sets, Dr. Anastraj is dedicated to advancing both academic research and practical applications.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3659695815
ISBN 13 
9783659695810
Einband
Taschenbuch
Anzahl der Seiten
140
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Edicoes Nosso Conhecimento
customerservice@vdm-vsg.de

SIA
Riga
1039
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