Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis

Authors

Upinder Kaur (ORCID: https://orcid.org/0000-0002-5638-474X)
Ateeq Ur Rehman (ORCID: https://orcid.org/0000-0001-5203-0621)
Hafizan Mat Som
Salil Bharany (ORCID: https://orcid.org/0000-0002-2282-0419)
Sheifali Gupta (ORCID: https://orcid.org/0000-0001-5692-418X)
Gunjan Shandilya
Seada Hussen

Institutions

Lovely Professional University (IN)
Gachon University (KR)
Universiti Teknologi Petronas (MY)
Chitkara University (IN)
Adama Science and Technology University (ET)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2024-12-30
DOI: https://doi.org/10.1186/s12911-024-02840-5
Citations: 10
Primary Topic: Nail Diseases and Treatments
Type: article
Field-Weighted Citation Impact: 3.87

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article

Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis

Upinder Kaur, Ateeq Ur Rehman, Hafizan Mat Som, Salil Bharany et al.

Dec 30, 2024

10 citations

BMC Medical Informatics and Decision Making

Nail Diseases and Treatments

3.87

article

Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis

Upinder Kaur, Ateeq Ur Rehman, Hafizan Mat Som, Salil Bharany, Sheifali Gupta, Gunjan Shandilya, Seada Hussen

December 30, 2024article en

10 citations

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision MakingVol. 24(1)

Lovely Professional University (IN), Gachon University (KR), Universiti Teknologi Petronas (MY), Chitkara University (IN), Adama Science and Technology University (ET)

Openalex Percentile: Top 6%

Nail Diseases and Treatments

3.87

DOI Open Access PDF OpenAlex

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