IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation
IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation
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Publisher
Oxford: Elsevier Ltd
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Language
English
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Oxford: Elsevier Ltd
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AbstractAccurate segmentation of medical images plays an essential role in their analysis and has a wide range of research and application values in fields of practice such as medical research, disease diagnosis, disease analysis, and auxiliary surgery. In recent years, deep convolutional neural networks have been developed that show strong perform...
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Full title
IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation
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TN_cdi_proquest_miscellaneous_2544458674
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2544458674
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ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2021.104551
