Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification

Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification

Deep learning (DL) has had an incredible influence on many different scientific areas over the past couple of decades. Particularly in the field of healthcare, DL strategies were able to outclass other existing methodologies in image processing. The rapid expansion of the monkeypox endemic to over 4...

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Bibliographic Details
Main Authors: Muhammad Waqar, Zeshan Aslam Khan, Shanzey Tariq Khawaja, Naveed Ishtiaq Chaudhary, Saadia Khan, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed, Muhammad Asif Zahoor Raja
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:SLAS Technology
Subjects:
Monkeypox disease
Convolutional neural network
Transfer learning
ConvNeXt
Explainable artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2472630325000949
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