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Breast Cancer Detection

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Showing 51–100 of 126 papers

TitleStatusHype
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization—0
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification—0
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning—0
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography—0
GroupMixer: Patch-based Group Convolutional Neural Network for Breast Cancer Detection from Histopathological Images—0
GuidedMorph: Two-Stage Deformable Registration for Breast MRI—0
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images—0
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System—0
Image Enhancement and Noise Reduction Using Modified Delay-Multiply-and-Sum Beamformer: Application to Medical Photoacoustic Imaging—0
Improving Breast Cancer Detection using Symmetry Information with Deep Learning—0
Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning—0
Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection—0
Investigation of Applying Quantum Neural Network of Early-Stage Breast Cancer Detection—0
Joint 2D-3D Breast Cancer Classification—0
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography—0
Low-rank Convex/Sparse Thermal Matrix Approximation for Infrared-based Diagnostic System—0
Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study—0
Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective—0
Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography—0
Mammograms Classification: A Review—0
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net—0
Microwave breast cancer detection using Empirical Mode Decomposition features—0
OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides—0
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification—0
Multivariate Analysis on Performance Gaps of Artificial Intelligence Models in Screening Mammography—0
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation—0
Algorithmic Insurance—0
Deep Learning-Based Breast Cancer Detection in Mammography: A Multi-Center Validation Study in Thai Population—0
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images—0
Self-Supervised Deep Learning to Enhance Breast Cancer Detection on Screening Mammography—0
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection—0
Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection—0
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset—0
TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection—0
Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection—0
Validation of a deep learning mammography model in a population with low screening rates—0
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach—0
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification—0
A Combined PCA-MLP Network for Early Breast Cancer Detection—0
Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis—0
Added value of morphological features to breast lesion diagnosis in ultrasound—0
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images—0
Analysis of Transferred Pre-Trained Deep Convolution Neural Networks in Breast Masses Recognition—0
An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images—0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
A Novel Low-Complexity Framework in Ultra-Wideband Imaging for Breast Cancer Detection—0
Artificial Intelligence For Breast Cancer Detection: Trends & Directions—0
Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review—0
A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection—0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
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