mlsanityData to 14 Oct 2026

Recent Advances in Medical Image Classification

arXiv 2506.04129 ↗First posted 4 Jun 2025eess.IV cs.AI cs.CVcited by 2

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Abstract (arXiv)

Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the field, focusing on three levels of solutions: basic, specific, and applied. It highlights advances in traditional methods using deep learning models like Convolutional Neural Networks and Vision Transformers, as well as state-of-the-art approaches with Vision Language Models. These models tackle the issue of limited labeled data, and enhance and explain predictive results through Explainable Artificial Intelligence.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 41 of its 82 references that are in the map. First posted on arXiv 4 Jun 2025.

Builds on

41 of 82 references.

References · 41

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
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29 more
  1. 2015Learning Deep Features for Discriminative Localizationcited by 2,436
  2. 2021TransUNet: Transformers Make Strong Encoders for Medical Image Segmentationcited by 1,558
  3. 2018UNet++: A Nested U-Net Architecture for Medical Image Segmentationcited by 1,525
  4. 2020Contrastive Learning of Medical Visual Representations from Paired Images and Textcited by 641
  5. 2021The Medical Segmentation Decathloncited by 628
  6. 2022MedCLIP: Contrastive Learning from Unpaired Medical Images and Textcited by 570
  7. 2023BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairscited by 520
  8. 2021Domain Adaptation for Medical Image Analysis: A Surveycited by 352
  9. 2023Learning to Exploit Temporal Structure for Biomedical Vision-Language Processingcited by 211
  10. 2023Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Imagescited by 128
  11. 2023MedViT: A Robust Vision Transformer for Generalized Medical Image Classificationcited by 89
  12. 2023X-Pruner: eXplainable Pruning for Vision Transformerscited by 68
  13. 2017Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learningcited by 63
  14. 2022ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognitioncited by 63
  15. 2023XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Modelscited by 61
  16. 2023LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matchingcited by 60
  17. 2023MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Textscited by 51
  18. 2023M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimizationcited by 43
  19. 2022One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classificationcited by 38
  20. 2023GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classificationcited by 25
  21. 2021BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosiscited by 20
  22. 2024Anatomical Structure-Guided Medical Vision-Language Pre-trainingcited by 18
  23. 2022Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classificationcited by 16
  24. 2021Semi-supervised learning for medical image classification using imbalanced training datacited by 14
  25. 2024DeViDe: Faceted medical knowledge for improved medical vision-language pre-trainingcited by 10
  26. 2023Strategies to exploit XAI to improve classification systemscited by 7
  27. 2023CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasetscited by 5
  28. 2024PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classificationcited by 3
  29. 2022Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classificationcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Ontology-based knowledge representation for bone disease diagnosis: a foundation for safe and sustainable medical artificial intelligence systemscited by 0
  2. 2026A Computer Vision Hybrid Approach: CNN and Transformer Models for Accurate Alzheimer's Detection from Brain MRI Scanscited by 0

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  5. 2025Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey
  6. 2023Recent Advances in Generative AI for Healthcare Applications
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