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Breast Cancer Detection

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Showing 1–50 of 126 papers

TitleStatusHype
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk PredictionCode0
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images—0
Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection—0
Deep Learning-Based Breast Cancer Detection in Mammography: A Multi-Center Validation Study in Thai Population—0
An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images—0
Deep Learning for Breast Cancer Detection: Comparative Analysis of ConvNeXT and EfficientNet—0
GuidedMorph: Two-Stage Deformable Registration for Breast MRI—0
Deep Multi-modal Breast Cancer Detection Network—0
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical StudyCode1
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification—0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection—0
Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis—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
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image SegmentationCode1
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
Snuffy: Efficient Whole Slide Image ClassifierCode2
Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samplesCode0
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic DataCode2
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
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in MammographyCode2
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
A Study of Acquisition Functions for Medical Imaging Deep Active LearningCode0
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images—0
Distribution-based Low-rank Embedding—0
Breast Cancer Detection Using Deep Learning Technique Based On Ultrasound Image—0
GroupMixer: Patch-based Group Convolutional Neural Network for Breast Cancer Detection from Histopathological Images—0
TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection—0
Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images—0
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation—0
CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound ImagesCode0
Screening Mammography Breast Cancer DetectionCode0
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention MechanismCode0
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