Can I read Quantumedics: Brain Tumor Diagnosis and Analysis Based on Quantum Computing and Convolutional Neural Network on EtoBox?

Quantumedics: Brain Tumor Diagnosis and Analysis Based on Quantum Computing and Convolutional Neural Network by Hamza Kamel Ahmed; Baraa Tantawi; Malak Magdy; Gehad Ismail Sayed is a book available to read on EtoBox.

What is Quantumedics: Brain Tumor Diagnosis and Analysis Based on Quantum Computing and Convolutional Neural Network about?

Before computer-aided diagnosis tools were created, physicians did physical exams, examined patient histories, and gathered patient data. Medical image analysis used to be laborious and subjective when done manually. Variations and diagnostic errors were also possible. Integrating cutting-edge technology like quantum computing and deep learning into medical image analysis offers great promise. The paper introduces Quantumedics, a system that classifies brain MRI images using a quantum convolutional neural network (QCNN) model and segments tumors using DeepLabV3 +. Data preparation, image classification-based QCNN, and tumor extraction and analysis make up its three primary phases. When a tumor is found, a segmentation model built on DeepLabV3 + is used to precisely define the tumor region. Then, significant information is derived from the tumor region, including the tumor's laterality and tumor-to-brain ratio. The proposed Quantumedics system is quite promising, according to the experimental findings. In addition, the results showed that DeepLabV3 + outperformed U-Net and earlier versions in terms of segmentation results. Additionally, the outcomes showed that medical experts could

Author

Hamza Kamel Ahmed; Baraa Tantawi; Malak Magdy; Gehad Ismail Sayed

Publisher

Springer Nature Switzerland AG

Published

2023

Language

EN

ISBN

9783031432460

Subjects

Computer Science, Engineering, Science