Article detail · 2025
InceptionNeXt-Transformer: A novel multi-scale deep feature learning architecture for multimodal breast cancer diagnosis
YÖKSİS
OpenAlex
SJR Q1
JCR Q2
Citations 55
Top 1%
Percentile 99.9%
FWCI 57.35
- Year
- 2025
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Biomedical Signal Processing and Control
- Catalog match (ISSN) Biomedical Signal Processing and Control
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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55 citations
OpenAlex cited_by_count (cache / database)
13 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Towards accurate and interpretable brain tumor diagnosis: T-FSPANNet with Tri-Attribute and pyramidal attention-based feature fusion 2026
- Chaotic Learning Rate Scheduling for Improved CNN-Based Breast Cancer Ultrasound Classification 2025
- Comparative analysis of transformer architectures for brain tumor classification 2025
- A comparative study of advanced deep learning architectures for breast cancer classification on ultrasound and histological images 2025
- Deep Learning for Early Diagnosis of Lung Cancer 2025
- AI-Driven Classification of Anemia and Blood Disorders Using Machine Learning Models 2025
- Impact of magnification on deep learning approaches through comprehensive comparative study of histopathological breast cancer classification 2026
- 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