Automatic Texture-Based Analysis in Ultrasound Imaging of Ovarian Masses
Author:
Affiliation:
1. Gynäkologie und Geburtshilfe, Universitätsfrauenklinik Erlangen
2. Institute for Integrated Circuits (IIS), Frauenhofer Institute
Publisher
Georg Thieme Verlag KG
Subject
Radiology, Nuclear Medicine and imaging
Link
http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0031-1299331.pdf
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review;International Journal of Cancer;2024-07-11
2. Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review;Insights into Imaging;2023-02-15
3. Evaluating the added benefit of CT texture analysis on conventional CT analysis to differentiate benign ovarian cysts;Diagnostic and Interventional Radiology;2021-07-14
4. Differentiating malignant from benign breast tumors on acoustic radiation force impulse imaging using fuzzy-based neural networks with principle component analysis;Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications;2017-03-13
5. Sonographie in der Gynäkologie – Teil 2: suspekte und pathologische Befunde;Der Gynäkologe;2015-02
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