mlsanityData to 14 Oct 2026

Breast Cancer Image Classification Method Based on Deep Transfer Learning

arXiv 2404.09226 ↗First posted 14 Apr 2024eess.IV cs.CV cs.LGcited by 12

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Abstract (arXiv)

To address the issues of limited samples, time-consuming feature design, and low accuracy in detection and classification of breast cancer pathological images, a breast cancer image classification model algorithm combining deep learning and transfer learning is proposed. This algorithm is based on the DenseNet structure of deep neural networks, and constructs a network model by introducing attention mechanisms, and trains the enhanced dataset using multi-level transfer learning. Experimental results demonstrate that the algorithm achieves an efficiency of over 84.0% in the test set, with a significantly improved classification accuracy compared to previous models, making it applicable to medical breast cancer detection tasks.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 4 of its 18 references that are in the map. First posted on arXiv 14 Apr 2024.

Builds on

4 of 18 references.

References · 4

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  2. 2024Fostc3net:A Lightweight YOLOv5 Based On the Network Structure Optimizationcited by 12
  3. 2022Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Featurescited by 5
  4. 2024Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosiscited by 4

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Citing papers per year: 2024: 9; 2025: 3.

12 papers.

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  3. 2024Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithmcited by 11
  4. 2024Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentationcited by 10
  5. 2024Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Studycited by 8
  6. 2024Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysiscited by 7
  7. 2025Structure-Aware Temporal Modeling for Chronic Disease Progression Predictioncited by 7
  8. 2024Dynamic Scheduling Strategies for Resource Optimization in Computing Environmentscited by 6
  9. 2024Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Modelscited by 5
  10. 2025Multi-Scale Transformer Architecture for Accurate Medical Image Classificationcited by 5
  11. 2024Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Datacited by 3
  12. 2025A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Datacited by 2