Multiparametric ultrasound and machine learning for prostate cancer localization-Reference-Cited by-同舟云学术

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Multiparametric ultrasound and machine learning for prostate cancer localization

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:2022 30th European Signal Processing Conference (EUSIPCO)
language:
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Author:

Chen Peiran¹,Calis Metin²,Wijkstra Hessel¹,Huang Pintong³,Hunyadi Borbala²,Mischi Massimo¹

Affiliation:

1. Eindhoven University of Technology,Dept. Electrical Engineering,Eindhoven,Netherlands

2. Technical University of Delft,Dept. Microelectronics,Delft,Netherlands

3. The Second Affiliated Hospital of Zhejiang University,Dept. Ultrasound in Medicine,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909729.pdf?arnumber=9909729

Reference32 articles.

1. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation

2. Contemporary Role of Systematic Prostate Biopsies: Indications, Techniques, and Implications for Patient Care

3. Optuna

4. Ultrasound-contrast-agent dispersion and velocity imaging for prostate cancer localization

5. Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer

Cited by 1 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. Clinically Significant Prostate Cancer Classification Using Anatomical T2W MRI Sequences and Deep Learning;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26

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