A UNet++ variant with LSTM-based channel attention and multiscale feature extraction reports 98.88% accuracy and 92.74% Dice on the BUSI breast ultrasound dataset.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 9(2), 131–145 (2021)
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UNet++ and LSTM combined approach for Breast Ultrasound Image Segmentation
A UNet++ variant with LSTM-based channel attention and multiscale feature extraction reports 98.88% accuracy and 92.74% Dice on the BUSI breast ultrasound dataset.