Article detail · 2025
A novel hybrid ConvNeXt-based approach for enhanced skin lesion classification
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Citations 69
Top 1%
Percentile 99.8%
FWCI 30.17
- Year
- 2025
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Expert Systems with Applications
- Catalog match (ISSN) Expert Systems with Applications
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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69 citations
OpenAlex cited_by_count (cache / database)
15 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
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- Towards accurate and interpretable brain tumor diagnosis: T-FSPANNet with Tri-Attribute and pyramidal attention-based feature fusion 2026
- NeXtBrain: Combining local and global feature learning for brain tumor classification 2025
- A comparative study of advanced deep learning architectures for breast cancer classification on ultrasound and histological images 2025
- AI-Driven Classification of Anemia and Blood Disorders Using Machine Learning Models 2025
- Attention-enhanced ConvNeXt for accurate, efficient, and interpretable crack detection 2026
- Comparative evaluation of lightweight convolutional neural network and vision transformer models for multi-class brain tumor classification using merged large MRI datasets 2026
- A comprehensive comparison of convolutional neural network and visual transformer models on skin cancer classification 2026
- ASMM-Net: A Hybrid CNN with Adaptive Scale Modulation for Robust Ischemic Stroke Lesion Segmentation 2025
- A pruned and parameter-efficient Xception framework for skin cancer classification 2026