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Diagnostic Value of Breast Lesions Between Deep Learning-Based Computer-Aided Diagnosis System and Experienced Radiologists: Comparison the Performance Between Symptomatic and Asymptomatic Patients

机译：深度学习计算机辅助诊断系统与经验丰富的放射科学家之间的乳房病变的诊断价值：对症状和无症状患者的性能进行比较

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Mengsu Xiao; Chenyang Zhao; Jianchu Li; Jing Zhang; He Liu; Ming Wang; Yunshu Ouyang; Yixiu Zhang; Yuxin Jiang; Qingli Zhu;
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1. Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography [J] . Choi Ji Soo, Han Boo-Kyung, Ko Eun Sook, Korean journal of radiology : . 2019,第5期

机译：基于深度学习框架的计算机辅助诊断系统对放射科医师在乳腺超声检查中区分良恶性肿块的诊断性能的影响
2. An investigation of the classification accuracy of a deep learning framework-based computer-aided diagnosis system in different pathological types of breast lesions [J] . Mengsu Xiao, Chenyang Zhao, Qingli Zhu, Journal of Thoracic Disease . 2019,第12期

机译：不同病理乳房病变中深层学习框架计算机辅助诊断系统分类准确性的调查
3. Evaluating the performance of a deep learning‐based computer‐aided diagnosis (DL‐CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists [J] . Li Li, Zhou Liu, Hua Huang, Thoracic cancer. . 2019,第1期

机译：评估基于深度学习的计算机辅助诊断（DL-CAD）系统进行检测和表征肺结节的性能：与放射科医生双读数的性能进行比较
4. Computer-Aided Diagnosis of Diagnostically Challenging Lesions in Breast MRI: A Comparison between a Radiomics and a Feature-Selective Approach [C] . Sebastian Hoffmann, Marc Lobbes, Ivo Houben, Sensing and analysis technologies for biomedical and cognitive applications 2016 . 2016

机译：乳腺MRI诊断中具有挑战性的病变的计算机辅助诊断：放射学与特征选择方法之间的比较
5. Development of computer-aided diagnostic system for breast MRI lesion classification. [D] . Meinel, Lina Arbash. 2005

机译：乳腺MRI病变分类计算机辅助诊断系统的开发。
6. Diagnostic Value of Breast Lesions Between Deep Learning-Based Computer-Aided Diagnosis System and Experienced Radiologists: Comparison the Performance Between Symptomatic and Asymptomatic Patients [O] . Mengsu Xiao, Chenyang Zhao, Jianchu Li, 2020

机译：深度学习计算机辅助诊断系统与经验丰富的放射科学家之间的乳房病变的诊断价值：对症状和无症状患者的性能进行比较
7. Ultrasound Computer-Aided Diagnosis (CAD) Based on the Thyroid Imaging Reporting and Data System (TI-RADS) to Distinguish Benign from Malignant Thyroid Nodules and the Diagnostic Performance of Radiologists with Different Diagnostic Experience [O] . Zhuang Jin, Yaqiong Zhu, Shijie Zhang, 2020

机译：超声电脑辅助诊断（CAD）基于甲状腺成像报告和数据系统（TI-RAD）来区分良性甲状腺结节以及放射科学家与不同诊断经验的诊断性能
8. Computer-Aided Diagnosis of Solid Breast Lesions Using an Ultrasonic Multi-Feature Analysis Procedure [R] . Alam, S. K., Feleppa, E. J., Rondeau, M., 2011

机译：超声多特征分析程序计算机辅助诊断实体乳房病变

Diagnostic Value of Breast Lesions Between Deep Learning-Based Computer-Aided Diagnosis System and Experienced Radiologists: Comparison the Performance Between Symptomatic and Asymptomatic Patients

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