The usefulness of a computer-aided diagnosis scheme for improving the performance of clinicians to diagnose non-mass lesions on breast ultrasonographic images

Shibusawa Mai; Nakayama Ryohei; Okanami Yuko; Kashikura Yumi; Imai Nao; Nakamura Takashi; Kimura Hiroko; Yamashita Masako; Hanamura Noriko; Ogawa Tomoko

首页> 外文期刊>Journal of medical ultrasonics: official journal of the Japan Society of Ultrasonics in Medicine >The usefulness of a computer-aided diagnosis scheme for improving the performance of clinicians to diagnose non-mass lesions on breast ultrasonographic images

【24h】

The usefulness of a computer-aided diagnosis scheme for improving the performance of clinicians to diagnose non-mass lesions on breast ultrasonographic images

机译：计算机辅助诊断方案对提高临床医生诊断乳腺超声图像上非肿块的性能的有用性

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The purpose of this study was to evaluate the usefulness of a computer-aided diagnosis (CAD) scheme for improving the performance of clinicians to diagnose non-mass lesions appearing as hypoechoic areas on breast ultrasonographic images.

机译：这项研究的目的是评估计算机辅助诊断（CAD）方案对提高临床医生诊断乳房超声图像上表现为低回声区域的非肿块的性能的有用性。

著录项

来源
《Journal of medical ultrasonics: official journal of the Japan Society of Ultrasonics in Medicine》 |2016年第3期|共8页
作者
Shibusawa Mai; Nakayama Ryohei; Okanami Yuko; Kashikura Yumi; Imai Nao; Nakamura Takashi; Kimura Hiroko; Yamashita Masako; Hanamura Noriko; Ogawa Tomoko;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类临床医学;
关键词
Computer-aided diagnosis; Breast ultrasonography; Breast non-mass lesions;

机译：计算机辅助诊断;乳腺超声检查;乳腺非肿块;

相似文献

外文文献
中文文献
专利

1. The usefulness of a computer-aided diagnosis scheme for improving the performance of clinicians to diagnose non-mass lesions on breast ultrasonographic images [J] . Shibusawa Mai, Nakayama Ryohei, Okanami Yuko, Journal of medical ultrasonics: official journal of the Japan Society of Ultrasonics in Medicine . 2016,第3期

机译：计算机辅助诊断方案对提高临床医生诊断乳腺超声图像上非肿块的性能的有用性
2. Improved Differential Diagnosis of Breast Masses on Ultrasonographic Images with a Computer-Aided Diagnosis Scheme for Determining Histological Classifications [J] . KashikuraY., NakayamaR., HizukuriA., Academic radiology . 2013,第4期

机译：利用计算机辅助诊断方案改善乳腺肿块对乳腺素的差异诊断，用于确定组织学分类
3. Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network [J] . Akiyoshi Hizukuri, Ryohei Nakayama Diagnostics . 2018,第3期

机译：利用卷积神经网络确定超声图像上乳腺组织学分类的计算机辅助诊断方案
4. Improved computer-aided diagnosis for breast lesions detection in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics [C] . Felix Retter, Claudia Plant, Bernhard Burgeth, Evolutionary and bio-inspired computation: Theory and applications V . 2011

机译：基于图像配准以及形态和动态特征的融合，改进的DCE-MRI乳腺病变检测计算机辅助诊断
5. Pattern recognition applied to the computer-aided detection and diagnosis of breast cancer from dynamic contrast-enhanced magnetic resonance breast images. [D] . Levman, Jacob. 2010

机译：模式识别从动态对比增强的磁共振乳腺图像应用于计算机辅助乳腺癌的检测和诊断。
6. Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network [O] . Akiyoshi Hizukuri, Ryohei Nakayama 2018

机译：利用卷积神经网络确定超声图像上乳腺组织学分类的计算机辅助诊断方案
7. Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network [O] . Akiyoshi Hizukuri, Ryohei Nakayama 2018

机译：用卷积神经网络确定超声图像乳房病变组织学分类的计算机辅助诊断方案

The usefulness of a computer-aided diagnosis scheme for improving the performance of clinicians to diagnose non-mass lesions on breast ultrasonographic images

摘要

著录项

相似文献

相关主题

期刊订阅