서보경

선택된 필터

전체 278건 중 31번부터 40번까지의 결과를 표시합니다.

2020

Article

Versatile Low-Cost Volumetric 3D Ultrasound Imaging Using Gimbal-Assisted Distance Sensors and an Inertial Measurement Unit

Conference

Optimizing MRI texture analysis of breast cancer to predict prognostic biomarkers and molecular subtypes using machine learning

Conference

Machine learning of radiomics to predict biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis in MRI

Article

Preoperative tumor size measurement in breast cancer patients: which threshold is appropriate on computer-aided detection for breast MRI?

Article

Radiogenomic Analysis of Breast Cancer by Using B-Mode and Vascular US and RNA Sequencing

2019

Conference

A Machine Learning Approach to Radiogenomics of Breast Cancer to Predict Prognostic Biomarkers Using Low-dose Perfusion Breast CT

Article

Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes

Conference

Breast Cancer Imaging: Beyond Image Data

Conference

Evolution Beyond Imagination of Breast Ultrasound

Article

Quantitative analysis of radiation dosage and image quality between digital breast tomosynthesis (DBT) with two-dimensional synthetic mammography and full-field digital mammography (FFDM)

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언어

선택된 필터

Versatile Low-Cost Volumetric 3D Ultrasound Imaging Using Gimbal-Assisted Distance Sensors and an Inertial Measurement Unit

Optimizing MRI texture analysis of breast cancer to predict prognostic biomarkers and molecular subtypes using machine learning

Machine learning of radiomics to predict biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis in MRI

Preoperative tumor size measurement in breast cancer patients: which threshold is appropriate on computer-aided detection for breast MRI?

Radiogenomic Analysis of Breast Cancer by Using B-Mode and Vascular US and RNA Sequencing

A Machine Learning Approach to Radiogenomics of Breast Cancer to Predict Prognostic Biomarkers Using Low-dose Perfusion Breast CT

Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes

Breast Cancer Imaging: Beyond Image Data

Evolution Beyond Imagination of Breast Ultrasound

Quantitative analysis of radiation dosage and image quality between digital breast tomosynthesis (DBT) with two-dimensional synthetic mammography and full-field digital mammography (FFDM)