A Novel Deep Learning Approach for Brain Tumor Detection: Via MRI and CT Image Fusion in a User-Friendly App - Softcover

R, Bhavani; R, Subraja; T, Malathy

 
9786207842179: A Novel Deep Learning Approach for Brain Tumor Detection: Via MRI and CT Image Fusion in a User-Friendly App
Softcover
ISBN 10: 6207842170 ISBN 13: 9786207842179
Verlag: LAP LAMBERT Academic Publishing, 2024

Inhaltsangabe

Brain tumors provide considerable obstacles in the field of healthcare,requiring accurate and prompt diagnosis in order to achieve effective therapy and enhance patient outcomes. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are crucial techniques for identifying brain tumors, with each method providing unique benefits. However, depending exclusively on one modality can restrict the precision of diagnosis. This project presents a novel method that integrates MRI and CT scans to improve the detection and categorization of brain tumors. By utilizing a 13-layer Convolution Neural Network and image fusion algorithms, our approach seeks to combine the advantages of both modalities,reducing their respective drawbacks. The workflow entails the act of uploading MRI and CT scans onto an interface, where a Convolutional Neural Network (CNN)applies picture fusion algorithm in the backend. The classification outcome reveals the existence, nature, or absence of a tumor. Moreover, the results can be obtained through a website or mobile app, making it easier and more effective for healthcare professionals to diagnose patients.

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Über die Autorin bzw. den Autor

Dr. R. Bhavani hold a Master of Engineering (M.E) degree in Applied Electronics from Sathyabama University, Chennai during the period of 2004-2006. Prior to that, pursued B.E. in ECE from Magna college of Engineering, in the year 2003, Chennai. Her research interests primarily revolve around Digital Image Processing, Digital Logic Circuits and ML.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
6207842170
ISBN 13 
9786207842179
Einband
Taschenbuch
Anzahl der Seiten
76
Kontakt zum Hersteller
Nicht verfügbar
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