Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model

Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model

Introduction: Breast cancer stands as the second most deadly form of cancer among women worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose: The study aims to classify breast ultrasound images into benign and malignant tumors. This approach involves segmentin...

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Bibliographic Details
Main Authors: Shahed Hossain, Sami Azam, Sidratul Montaha, Asif Karim, Sadia Sultana Chowa, Chaity Mondol, Md Zahid Hasan, Mirjam Jonkman
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Image preprocessing
Spatial self attention
Channel self attention
Hybrid attention module
Image segmentation
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023085778

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023085778

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