A deep multi-filtering network based on dilated mask RCNN framework with self-attention RNN model for segmenting and classifying bone fracture.

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Title: A deep multi-filtering network based on dilated mask RCNN framework with self-attention RNN model for segmenting and classifying bone fracture.
Authors: Jothi, R.1, jothianbu28@gmail.com, Jayanthi, K.2, jayanthirab@gmail.com
Source: Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 25, p29815-29841, 27p
Database: Applied Science & Technology Source
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  Data: A deep multi-filtering network based on dilated mask RCNN framework with self-attention RNN model for segmenting and classifying bone fracture.
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jul2025, Vol. 84 Issue 25, p29815-29841, 27p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186986649
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11042-024-20245-4
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 29815
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      – TitleFull: A deep multi-filtering network based on dilated mask RCNN framework with self-attention RNN model for segmenting and classifying bone fracture.
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            – D: 25
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              Text: Jul2025
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              Y: 2025
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