A Lightweight Deep Convolutional Neural Network Implemented on FPGA and Android Devices for Detection of Breast Cancer Using Ultrasound Images

A Lightweight Deep Convolutional Neural Network Implemented on FPGA and Android Devices for Detection of Breast Cancer Using Ultrasound Images

Breast cancer (BC) continues to be the primary cause of high mortality rates among women globally. Early and automated detection of this disease plays a significant role in clinical standards for better diagnosis and improved survival rates. Ultrasonography is a widely used non-invasive imaging test...

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Bibliographic Details
Main Authors: Aditya Vinod, Prabhav Guddati, Amit Kumar Panda, Rajesh Kumar Tripathy
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Ultrasound images
breast cancer
deep learning
edge computing
FPGA
android
Online Access:https://ieeexplore.ieee.org/document/10767217/
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https://ieeexplore.ieee.org/document/10767217/

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