mlsanityData to 7 Oct 2026

Multi-Scale Transformer Architecture for Accurate Medical Image Classification

arXiv 2502.06243 ↗First posted 10 Feb 2025cs.CV cs.LGcited by 5

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Abstract (arXiv)

This study introduces an AI-driven skin lesion classification algorithm built on an enhanced Transformer architecture, addressing the challenges of accuracy and robustness in medical image analysis. By integrating a multi-scale feature fusion mechanism and refining the self-attention process, the model effectively extracts both global and local features, enhancing its ability to detect lesions with ambiguous boundaries and intricate structures. Performance evaluation on the ISIC 2017 dataset demonstrates that the improved Transformer surpasses established AI models, including ResNet50, VGG19, ResNext, and Vision Transformer, across key metrics such as accuracy, AUC, F1-Score, and Precision. Grad-CAM visualizations further highlight the interpretability of the model, showcasing strong alignment between the algorithm's focus areas and actual lesion sites. This research underscores the transformative potential of advanced AI models in medical imaging, paving the way for more accurate and reliable diagnostic tools. Future work will explore the scalability of this approach to broader medical imaging tasks and investigate the integration of multimodal data to enhance AI-driven diagnostic frameworks for intelligent healthcare.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 13 of its 23 references that are in the map. First posted on arXiv 10 Feb 2025.

Builds on

13 of 23 references.

References · 13

  1. 2021Transformers in Vision: A Surveycited by 1,009
  2. 2024Survival Prediction Across Diverse Cancer Types Using Neural Networkscited by 80
  3. 2024Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an examplecited by 50
  4. 2024Breast Cancer Image Classification Method Based on Deep Transfer Learningcited by 12
  5. 2024Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparisoncited by 10
  6. 2024Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Miningcited by 8
  7. 2024Dynamic Scheduling Strategies for Resource Optimization in Computing Environmentscited by 6
  8. 2024A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Setscited by 5
  9. 2024Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Modelscited by 5
  10. 2024Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Datacited by 3
  11. 2024Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoderscited by 2
  12. 2024Adversarial Attack Against Images Classification based on Generative Adversarial Networkscited by 2
1 more
  1. 2024Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integrationcited by 1

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Cited by year

Citing papers per year: 2025: 5.

5 papers.

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  3. 2025A LongFormer-Based Framework for Accurate and Efficient Medical Text Summarizationcited by 5
  4. 2025Semantic and Contextual Modeling for Malicious Comment Detection with BERT-BiLSTMcited by 5
  5. 2025Pre-trained Language Models and Few-shot Learning for Medical Entity Extractioncited by 4