CoAtUNet: A symmetric encoder-decoder with hybrid transformers for semantic segmentation of breast ultrasound images

The CoAtNet hybrid deep model yields state-of-the-art performance in image analysis by integrating the strengths of convolutional neural networks (CNNs) along with self-attention mechanisms, combining local feature extraction with global dependency modeling. In this paper, we introduce CoAtUNet, a n...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 629; p. 129660
Main Authors:	Zaidkilani, Nadeem, Garcia, Miguel Angel, Puig, Domenec
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 07.05.2025
Subjects:	Breast cancer CoAtNet Deep neural networks Semantic segmentation Symmetric encoder-decoder Transformers Ultrasound images Deep neural networks Semantic segmentation Transformers Ultrasound images Breast cancer CoAtNet Symmetric encoder-decoder
ISSN:	0925-2312
Online Access:	Get full text
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