Breast Cancer Segmentation From Ultrasound Images Using Deep Dual-Decoder Technology With Attention Network

Breast Cancer Segmentation From Ultrasound Images Using Deep Dual-Decoder Technology With Attention Network

This paper introduces a deep learning approach for breast cancer segmentation from ultrasound imaging using a Dual Decoder Attention ResUNet (DDA-AttResUNet). DDA-AttResUNet utilizes a Dual Decoder Attention structure to simultaneously focus on tumor segmentation while also capturing supplementary c...

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Bibliographic Details
Main Authors: Asmaa A. Hekal, Ahmed Elnakib, Hossam El-Din Moustafa, Hanan M. Amer
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Breast ultrasound
tumor segmentation
deep learning
image segmentation
image detection
Online Access:https://ieeexplore.ieee.org/document/10384335/

Internet

https://ieeexplore.ieee.org/document/10384335/

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