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2. Artificial Intelligence in Breast Cancer Diagnosis: A Review
3. Enhancement of Screening Mammograms Using Dual-Tree Complex Wavelet Transform
4. A Belief Theory Based Instance Selection Scheme for Label Noise and Outlier Detection from Breast Cancer Data
5. Predictive Deep Learning: An Analysis of Inception V3, VGG16, and VGG19 Models for Breast Cancer Detection
6. A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks
7. Breast Cancer Radiogenomics Data Generation Using Combined Generative Adversarial Networks GANs
8. Performance Analysis of a Single-Input Thermal Image Classifier with Patient Information for the Detection of Breast Cancer
9. Breast Cancer Diagnosis from Ultrasonic Image and Histopathology Image Using Deep Learning Approach
10. In Silico Molecular Docking Analysis of Breast Cancer Therapy Using Zerumbone Derivatives
11. Simulation-Based Treatment Protocol Design for Damaging Breast Tumor Using Laser Photothermal Therapy
12. Prediction of Breast Cancer Using Machine Learning Technique
13. A Predictive Deep Learning Ensemble-Based Approach for Advanced Cancer Classification
14. Predictive Modeling of Breast Cancer Subtypes Using Machine Learning Algorithms
15. Enhanced Multi-step Breast Cancer Prediction Through Integrated Dimensionality Reduction and Support Vector Classification
16. 'Positioning of tucatinib in the new clinical scenario of HER2-positive metastatic breast cancer: An Italian and Spanish consensus paper'
17. Position paper on CDK4/6 inhibitors in early breast cancer
18. Correctness and Completeness of Breast Cancer Diagnoses Recorded in UK CPRD Aurum and CPRD GOLD Databases: Comparison to Hospital Episode Statistics and Cancer Registry (Companion Paper 2)
19. Presence of Breast Cancer Information Recorded in United Kingdom Primary Care Databases: Comparison of CPRD Aurum and CPRD GOLD (Companion Paper 1)
20. Risk Stratification of Breast Cancer Patients: Integrating Epidemiology, Risk Factors, and Prognostic Markers for Sustainable Development
21. Mammogram Based Breast Cancer Detection with Transfer Learning
22. A Deep Learning Model for Breast Cancer Diagnosis Using Mammography Images Classification
23. Breast Cancer Detection by Using Decision Tree
24. Comparative Assessment of Deep End-To-End, Deep Hybrid and Deep Ensemble Learning Architectures for Breast Cancer Histological Classification
25. False Positive Reduction in Mammographic Mass Detection
26. Use of Machine Learning Models for Analyzing the Accuracy of Predicting the Cancerous Diseases
27. Enhanced and Effective Ensemble Model for Breast Cancer Detection and Prediction in Modern Medical System in Machine Learning
28. Robust Method for Breast Cancer Classification Based on Feature Selection Using RGWO Algorithm
29. Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models
30. The Potential Role of RNA 'Writer' TRMT61B in the Immune Regulation of Breast Cancer
31. Provision of follow-up care for women with a history of breast cancer following the 2016 position paper by the Italian Group for Mammographic Screening and the Italian College of Breast Radiologists by SIRM: a survey of Senonetwork Italian breast centres
32. Implementation of a Method Using Image Sequentialization, Patch Embedding and ViT Encoder to Detect the Breast Cancer on RGBA Images and Binary Masks
33. Hyper-parameters Study for Breast Cancer Datasets: Enhancing Image Security and Accuracy for Prediction Class
34. Mammogram Mass Classification: A CNN-Based Technique Applied to Different Age Groups
35. Fort Worth's New Paper-friendly Modern
36. Recent Trends in Modalities and Deep Learning Methods for Breast Cancer Detection
37. Fusion of Features from Mammogram and DBT Views for Detection of Breast Tumour
38. Analysis of the Generation of a Synthetic Response to the Application of Contrast Agents in Breast Medical Images Using Generative Adversarial Networks
39. A Machine Learning-Based Congenital Categorization Approach in Early Recognition of Breast Carcinoma
40. Detection of Breast Cancer from Mammogram Images Using Deep Transfer Learning
41. Cytological Images Clustering
42. Breast Cancer Detection Based on Decision Fusion of Machine Learning Algorithms
43. Breast Cancer Classification Using Convolution Neural Network (CNN)
44. Analysis and Classification of Biomedical Data Using Machine Learning Techniques
45. Machine Learning in Healthcare: Breast Cancer and Diabetes Cases
46. Special Invited Paper. Additive Logistic Regression: A Statistical View of Boosting: Discussion
47. "Positioning of tucatinib in the new clinical scenario of HER2-positive metastatic breast cancer: An Italian and Spanish consensus paper".
48. Cluster Analysis for Breast Cancer Patterns Identification
49. Feature Selection Optimization for Breast Cancer Diagnosis
50. A Compact Shape Descriptor Using Empirical Mode Decomposition to Detect Malignancy in Breast Tumour
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