Deep Learning Model for Extensive Diagnosis of Corneal Deposits

Our DL model accurately diagnosed band keratopathy, GCD, LCD, SCD, and MCD although it was not precise enough to classify amyloidosis or GDLD. Although its performance first needs to be improved, this will be the first DL model to be installed in CorneAI for future.

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Publication Details

Journal
Cornea
Published
2025-10-07
DOI
https://doi.org/10.1097/ico.0000000000004018
Citations
1
Primary Topic
Corneal surgery and disorders
Type
article
Field-Weighted Citation Impact
1.36
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article

Deep Learning Model for Extensive Diagnosis of Corneal Deposits

Takefumi Yamaguchi, Hiroki Maehara, Yosuke Taki, Yoshiyuki Kitaguchi et al.
1 citations
Cornea
Corneal surgery and disorders
1.36
article

Deep Learning Model for Extensive Diagnosis of Corneal Deposits

Takefumi Yamaguchi, Hiroki Maehara, Yosuke Taki, Yoshiyuki Kitaguchi, Masahiro Oda, Yuta Ueno
article en
1 citations

Abstract

Our DL model accurately diagnosed band keratopathy, GCD, LCD, SCD, and MCD although it was not precise enough to classify amyloidosis or GDLD. Although its performance first needs to be improved, this will be the first DL model to be installed in CorneAI for future.

Cornea
Aichi University (JP), Fukushima Medical University (JP), University of Tsukuba (JP), Tokyo Dental College Ichikawa General Hospital (JP), Nagoya University (JP), The University of Osaka (JP)
Openalex Percentile: Top 14%
Corneal surgery and disorders
1.36
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Deep Learning Model for Extensive Diagnosis of Corneal Deposits — Takefumi Yamaguchi, Hiroki Maehara, et al. · Cornea (2025) | TGRS Research Map | TGRS