Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models

Abstract This study utilizes the Breast Ultrasound Image (BUSI) dataset to present a deep learning technique for breast tumor segmentation based on a modified UNet architecture. To improve segmentation accuracy, the model integrates attention mechanisms, such as the Convolutional Block Attention Mod...

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Bibliographic Details
Published in:	Scientific Reports
Main Authors:	Shokofeh Anari, Soroush Sadeghi, Ghazaal Sheikhi, Ramin Ranjbarzadeh, Malika Bendechache
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-01-01
Subjects:	Breast tumor segmentation UNet Grad-CAM Non-local attention Attention mechanisms
Online Access:	https://doi.org/10.1038/s41598-024-84504-y

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