ML-Based Brain Disorder Classification through Image Processing - Annapareddy, V. Nagarjuna Reddy;Vadisena, Venkata Krishna Reddy;Kolli, Chandar Sekhar
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This book addresses medical image processing for brain disorder classification. It explores advanced techniques, including Discrete Wavelet Transform, SVM, and a hybridized strategy (MABC-ELM). Emphasizing the limitations of traditional methods, the study proposes an improved Deep Belief Network model. These computational models aim to enhance accuracy in brain image classification, crucial for accurate medical diagnoses.

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Produktbeschreibung
This book addresses medical image processing for brain disorder classification. It explores advanced techniques, including Discrete Wavelet Transform, SVM, and a hybridized strategy (MABC-ELM). Emphasizing the limitations of traditional methods, the study proposes an improved Deep Belief Network model. These computational models aim to enhance accuracy in brain image classification, crucial for accurate medical diagnoses.
Autorenporträt
Dr. Nagarjuna Reddy Seelam is working as an Associate Professor in the Department of Computer Science and Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, AP. He completed his Ph.D. Degree from the JNTUK, Kakinada, India in 2022. He obtained his M. Tech in Computer Science Engineering from the Acharya Nagarjuna University.