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This page shows the details of why an item matched the keywords from your search.
Search Results
Zheng, Bin
One or more keywords matched the following items that are connected to
Zheng, Bin
Item Type
Name
Concept
Breast Density
Concept
Breast
Concept
Breast Diseases
Concept
Breast Neoplasms
Academic Article
Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.
Academic Article
Detection of posteriorly located breast tumors using gold nanoparticles: a breast-mimicking phantom study.
Academic Article
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.
Academic Article
Association between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer risk.
Academic Article
A new and fast image feature selection method for developing an optimal mammographic mass detection scheme.
Academic Article
Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions.
Academic Article
Computer-aided breast MR image feature analysis for prediction of tumor response to chemotherapy.
Academic Article
Computer-aided classification of mammographic masses using visually sensitive image features.
Academic Article
Detectability comparison of simulated tumors in digital breast tomosynthesis using high-energy X-ray inline phase sensitive and commercial imaging systems.
Academic Article
Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks.
Academic Article
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.
Academic Article
Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk.
Academic Article
Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy.
Academic Article
Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions.
Academic Article
A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.
Academic Article
Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.
Academic Article
Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk.
Academic Article
Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms.
Grant
CAD FOR EARLIER DETECTION OF BREAST CANCER
Grant
Increasing Cancer Detection Yield Using Breast MRI Screening Modality
Grant
Improving Breast Cancer Detection and Diagnosis with CAD
Grant
DETECTION AND LOCALIZATION IN MAMMOGRAPHY
Grant
Mammographic Density and Tissue Asymmetry Based Breast Cancer Risk Stratification
Academic Article
Development and preclinical evaluation of a patient-specific high energy x-ray phase sensitive breast tomosynthesis system.
Academic Article
A phase sensitive x-ray breast tomosynthesis system: Preliminary patient images with cancer lesions.
Academic Article
The Potential of Utilizing Mid-Energy X-Rays for In-Line Phase Sensitive Breast Cancer Imaging.
Academic Article
Evaluation and comparison of a CdTe based photon counting detector with an energy integrating detector for X-ray phase sensitive imaging of breast cancer.
Academic Article
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.
Academic Article
Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism.
Academic Article
Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction.
Academic Article
A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis.
Academic Article
A multi-stage fusion framework to classify breast lesions using deep learning and radiomics features computed from four-view mammograms.
Search Criteria
Breast