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Evaluation of Image Compression for Computer-Aided Diagnosis of Breast Tumors in Sonography

机译:图像压缩技术在超声检查中对乳腺癌的计算机辅助诊断

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Medical imaging examinations form the basis for physicians diagnosing diseases, as evidenced by the increasing use of digital medical images for picture archiving and communications systems (PACS). However, with enlarged medical image databases and rapid advances in storage and transmission technologies, PACS requires image compression to accelerate the image transmission rate and conserve disk space in order to reduce implementation costs. Therefore, this study evaluates the compression ratios of JPEG and JPEG2000 standards for computer-aided diagnosis (CAD) of breast tumors in medical ultrasound images. The ultrasound images with various compression ratios are compressed by using the two efficacious image compression standards. The reconstructed images are then diagnosed by CAD. Next, diagnostic accuracy is measured based on receiver operating characteristic (ROC) analysis. Analysis results ensure a comparison of the compression ratios with JPEG and JPEG2000 for ultrasound images. Results of this study provide the possible bit rates using JPEG and JPEG2000 for breast ultrasound images.
机译:医学影像检查是医生诊断疾病的基础,这可以通过越来越多的数字医学影像用于图片存档和通信系统(PACS)来证明。但是,随着医学图像数据库的扩大以及存储和传输技术的飞速发展,PACS要求图像压缩以加快图像传输速率并节省磁盘空间,以降低实施成本。因此,本研究评估了医学超声图像中用于乳腺肿瘤计算机辅助诊断(CAD)的JPEG和JPEG2000标准的压缩率。通过使用两种有效的图像压缩标准来压缩具有不同压缩率的超声图像。然后,通过CAD诊断重建的图像。接下来,基于接收器工作特性(ROC)分析来测量诊断准确性。分析结果确保比较超声图像的JPEG和JPEG2000压缩率。这项研究的结果为使用JPEG和JPEG2000的乳房超声图像提供了可能的比特率。

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