SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2

SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2

Abstract Skin diseases are a significant public health challenge in Bangladesh, with prevalence rates soaring from 11.16 to 63% in recent years. The lack of access to dermatological expertise and resource constraints in rural areas exacerbate delayed or inaccurate diagnoses, leading to worsening con...

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Bibliographic Details
Main Authors: Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, Aminul Haque, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Applied Sciences
Subjects:
Skin disease
Skin cancer
SkinIncept
InceptionResNet-V2
Transfer learning
Bangladesh
Online Access:https://doi.org/10.1007/s42452-025-06596-z
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