MFMSNet: A Multi-frequency and Multi-scale Interactive CNN-Transformer Hybrid Network for breast ultrasound image segmentation

Ruichao Wu; Xiangyu Lǚ; Zihuan Yao; Yide Ma

doi:10.1016/j.compbiomed.2024.108616

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MFMSNet: A Multi-frequency and Multi-scale Interactive CNN-Transformer Hybrid Network for breast ultrasound image segmentation

Ruichao Wu Xiangyu Lǚ Zihuan Yao Yide Ma

Year: 2024 Journal: Computers in Biology and Medicine Vol: 177 Pages: 108616-108616 Publisher: Elsevier BV

DOI: 10.1016/j.compbiomed.2024.108616

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Keywords:

Computer science Segmentation High frequency ultrasound Ultrasound Artificial intelligence Transformer Computer vision Radiology Medicine Electrical engineering Voltage

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Topics

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

MFMSNet: A Multi-frequency and Multi-scale Interactive CNN-Transformer Hybrid Network for breast ultrasound image segmentation

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Citation History

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