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Breast Cancer Detection

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Showing 26–50 of 126 papers

TitleStatusHype
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis—0
Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection—0
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification—0
Detecting and Monitoring Bias for Subgroups in Breast Cancer Detection AI—0
Analysis of Transferred Pre-Trained Deep Convolution Neural Networks in Breast Masses Recognition—0
Deep BI-RADS Network for Improved Cancer Detection from Mammograms—0
Effect sizes as a statistical feature-selector-based learning to detect breast cancer—0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
DCT-HistoTransformer: Efficient Lightweight Vision Transformer with DCT Integration for histopathological image analysis—0
Multi-Tiered Self-Contrastive Learning for Medical Microwave Radiometry (MWR) Breast Cancer DetectionCode0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection—0
Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative StudyCode0
BCDNet: A Fast Residual Neural Network For Invasive Ductal Carcinoma DetectionCode0
Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samplesCode0
OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides—0
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review—0
D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms—0
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model—0
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography—0
Mitigating annotation shift in cancer classification using single image generative modelsCode0
Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning MethodCode0
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography—0
Breast Cancer Image Classification Method Based on Deep Transfer Learning—0
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