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Breast Cancer Detection
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Artificial Intelligence For Breast Cancer Detection: Trends & Directions
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net
Meta-repository of screening mammography classifiers
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
Memory-aware curriculum federated learning for breast cancer classification
XBNet : An Extremely Boosted Neural Network
Embedded Deep Regularized Block HSIC Thermomics for Early Diagnosis of Breast Cancer
Algorithmic Insurance
Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection
Machine Learning-Based Approaches For Breast Cancer Detection in Microwave Imaging
$\text{O}^2$PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection
Curvature-based Feature Selection with Application in Classifying Electronic Health Records
Differences between human and machine perception in medical diagnosis
Low-rank Convex/Sparse Thermal Matrix Approximation for Infrared-based Diagnostic System
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
Explainable Disease Classification via weakly-supervised segmentation
Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
Breast Cancer Detection Using Convolutional Neural Networks
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
Joint 2D-3D Breast Cancer Classification
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
Validation of a deep learning mammography model in a population with low screening rates
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer
Regression Concept Vectors for Bidirectional Explanations in Histopathology
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Compact Low-Profile Wearable Antennas For Breast Cancer Detection
Improving Breast Cancer Detection using Symmetry Information with Deep Learning
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