72 results
Search Results
2. Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
3. Hybrid sigmoid activation function and transfer learning assisted breast cancer classification on histopathological images
4. A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities
5. Cancer detection and segmentation using machine learning and deep learning techniques: a review
6. FPGA implementation of breast cancer detection using SVM linear classifier
7. Improved DeepMitosisNet framework for detection of mitosis in histopathology images
8. Breast cancer: new mammography dual-view classification approach based on pre-processing and transfer learning techniques
9. Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network
10. Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm
11. Improving the speed and quality of cancer segmentation using lower resolution pathology images
12. Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis
13. An augmented mammogram image dataset and its performance analysis for various classification models
14. Thermal infrared imaging based breast cancer diagnosis using machine learning techniques
15. GPT for medical entity recognition in Spanish
16. Improved bald eagle search optimization with entropy-based deep feature fusion model for breast cancer diagnosis on digital mammograms
17. Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning
18. Augmented reality aid in diagnostic assistance for breast cancer detection
19. Forward attention-based deep network for classification of breast histopathology image
20. New enhanced breast tumor detection approach in mammogram scans based on pre-processing and deep transfer learning techniques
21. Segmentation of pectoral muscle from mammograms using U-Net having densely connected convolutional layers
22. A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique
23. Information retrieval using machine learning from breast cancer diagnosis
24. A comprehensive survey on convolutional neural network in medical image analysis
25. A comprehensive review on computational techniques for breast cancer: past, present, and future
26. Multi-class classification of breast cancer abnormality using transfer learning
27. Breast cancer segmentation using hybrid HHO-CS SVM optimization techniques
28. ICMFKC with optimize XGBoost classification for breast cancer image screening and detection
29. A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features
30. A computer-aided diagnostic system for mammograms based on YOLOv3
31. Histo-fusion: a novel domain specific learning to identify invasive ductal carcinoma (IDC) from histopathological images
32. Breast cancer: toward an accurate breast tumor detection model in mammography using transfer learning techniques
33. Robust application of new deep learning tools: an experimental study in medical imaging
34. An efficient deep neural network based abnormality detection and multi-class breast tumor classification
35. Survival analysis of breast cancer patients using machine learning models
36. Breast cancer prediction and categorization in the molecular era of histologic grade
37. Automatic breast cancer detection using HGMMEM algorithm with DELMA classification
38. Multiple TBSVM-RFE for the detection of architectural distortion in mammographic images
39. Breast cancer diagnosis using Stochastic Self-Organizing Map and Enlarge C4.5
40. Early detection of breast cancer using hybrid of series network and VGG-16
41. Breast cancer classification using snapshot ensemble deep learning model and t-distributed stochastic neighbor embedding
42. Breast cancer prediction from microRNA profiling using random subspace ensemble of LDA classifiers via Bayesian optimization
43. Detection of breast cancer via deep convolution neural networks using MRI images
44. A novel classification approach based on Extreme Learning Machine and Wavelet Neural Networks
45. Feature fusion based machine learning pipeline to improve breast cancer prediction
46. Predicting breast cancer biopsy outcomes from BI-RADS findings using random forests with chi-square and MI features
47. Automated diagnosis of breast cancer from ultrasound images using diverse ML techniques
48. Mammogram breast cancer CAD systems for mass detection and classification: a review
49. Detection of breast abnormalities in digital mammograms using the electromagnetism-like algorithm
50. Classification of clustered microcalcifications using different variants of backpropagation training algorithms
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