Caries-segnet: multi-scale cascaded hybrid spatial channel attention encoder-decoder for semantic segmentation of dental caries

The developed model facilitates in detection of cavities precisely at an earlier stage with the help of dental images. The semantic segmentation of dental caries provides accurate diagnosis by assisting medical professionals.

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Publication Details

Journal
Biomedizinische Technik/Biomedical Engineering
Published
2025-03-06
DOI
https://doi.org/10.1515/bmt-2024-0439
Citations
2
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
3.58
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article

Caries-segnet: multi-scale cascaded hybrid spatial channel attention encoder-decoder for semantic segmentation of dental caries

J. Sathya Priya, S. Kanaga Suba Raja
2 citations
Biomedizinische Technik/Biomedical Engineering
Dental Radiography and Imaging
3.58
article

Caries-segnet: multi-scale cascaded hybrid spatial channel attention encoder-decoder for semantic segmentation of dental caries

J. Sathya Priya, S. Kanaga Suba Raja
article en
2 citations

Abstract

The developed model facilitates in detection of cavities precisely at an earlier stage with the help of dental images. The semantic segmentation of dental caries provides accurate diagnosis by assisting medical professionals.

Biomedizinische Technik/Biomedical EngineeringVol. 70(3)
SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 9%
Dental Radiography and Imaging
3.58
DOIOpen Access PDFOpenAlex
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Caries-segnet: multi-scale cascaded hybrid spatial channel attention encoder-decoder for semantic segmentation of dental caries — J. Sathya Priya, S. Kanaga Suba Raja · Biomedizinische Technik/Biomedical Engineering (2025) | TGRS Research Map | TGRS