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Breast Cancer Detection
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Breast Cancer Image Classification Method Based on Deep Transfer Learning
A Study of Acquisition Functions for Medical Imaging Deep Active Learning
BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images
Distribution-based Low-rank Embedding
Breast Cancer Detection Using Deep Learning Technique Based On Ultrasound Image
GroupMixer: Patch-based Group Convolutional Neural Network for Breast Cancer Detection from Histopathological Images
TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection
Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation
CEIMVEN: An Approach of Cutting Edge Implementation of Modified Versions of EfficientNet (V1-V2) Architecture for Breast Cancer Detection and Classification from Ultrasound Images
Screening Mammography Breast Cancer Detection
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning
Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset
Multivariate Analysis on Performance Gaps of Artificial Intelligence Models in Screening Mammography
Breast cancer detection using deep learning
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images
Classification of Luminal Subtypes in Full Mammogram Images Using Transfer Learning
Investigation of Applying Quantum Neural Network of Early-Stage Breast Cancer Detection
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images
Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective
A Combined PCA-MLP Network for Early Breast Cancer Detection
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset
Self-Supervised Deep Learning to Enhance Breast Cancer Detection on Screening Mammography
Breast cancer detection using artificial intelligence techniques: A systematic literature review
Mammograms Classification: A Review
Breast Cancer Detection using Histopathological Images
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection
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