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

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
Main Authors: Shokofeh Anari, Soroush Sadeghi, Ghazaal Sheikhi, Ramin Ranjbarzadeh, Malika Bendechache
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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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https://doi.org/10.1038/s41598-024-84504-y

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