DGPCNet: anemia detection from multimodal palm, fingernails, and eye conjunctiva images using deep global pyramid convolutional network

Moreover, applying fused features in the proposed DGPCNet enables hierarchy-based learning thereby significantly boosting the accuracy and reliability of detection.

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Publication Details

Journal
Expert Review of Hematology
Published
2025-11-28
DOI
https://doi.org/10.1080/17474086.2025.2597364
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

DGPCNet: anemia detection from multimodal palm, fingernails, and eye conjunctiva images using deep global pyramid convolutional network

Seemanti Saha, Trushna G. Deotale
Expert Review of Hematology
Retinal Imaging and Analysis
article

DGPCNet: anemia detection from multimodal palm, fingernails, and eye conjunctiva images using deep global pyramid convolutional network

Seemanti Saha, Trushna G. Deotale
article en

Abstract

Moreover, applying fused features in the proposed DGPCNet enables hierarchy-based learning thereby significantly boosting the accuracy and reliability of detection.

Expert Review of HematologyVol. 19(2)
National Institute of Technology Patna (IN), Rashtrasant Tukadoji Maharaj Nagpur University (IN)
Openalex Percentile: Top 48%
Retinal Imaging and Analysis
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