Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models

Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models

Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, classification, and segmentation of tumors are extremely time-consuming but crucial...

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Bibliographic Details
Main Authors: Amran Hossain, Mohammad Tariqul Islam, Tawsifur Rahman, Muhammad E. H. Chowdhury, Anas Tahir, Serkan Kiranyaz, Kamarulzaman Mat, Gan Kok Beng, Mohamed S. Soliman
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Biosensors
Subjects:
brain tumor segmentation
classification
antenna sensor
deep learning
Self-ONN
sensor-based microwave brain imaging system
Online Access:https://www.mdpi.com/2079-6374/13/3/302

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https://www.mdpi.com/2079-6374/13/3/302

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