Automated Conversion of Ultrasound Pixel Dimensions to Millimeters using Deep Learning Models-Reference-Cited by-同舟云学术

Automated Conversion of Ultrasound Pixel Dimensions to Millimeters using Deep Learning Models

Published:2023-05-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Computer Technology Applications
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Author:

Alzubaidi Mahmood¹^ORCID,Househ Mowafa¹^ORCID

Affiliation:

1. College of Science and Engineering, Hamad Bin Khalifa University, Qatar

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605423.3605441

Reference17 articles.

1. Toward deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via ultrasound images

2. Ensemble Transfer Learning for Fetal Head Analysis: From Segmentation to Gestational Age and Weight Prediction

3. Lars Buitinck , Gilles Louppe , Mathieu Blondel , Fabian Pedregosa , Andreas Mueller , Olivier Grisel , Vlad Niculae , Peter Prettenhofer , Alexandre Gramfort , Jaques Grobler , Robert Layton , Jake VanderPlas , Arnaud Joly , Brian Holt , and Gaël Varoquaux . 2013 . API design for machine learning software: experiences from the scikit-learn project . In ECML PKDD Workshop: Languages for Data Mining and Machine Learning. 108–122 . Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake VanderPlas, Arnaud Joly, Brian Holt, and Gaël Varoquaux. 2013. API design for machine learning software: experiences from the scikit-learn project. In ECML PKDD Workshop: Languages for Data Mining and Machine Learning. 108–122.

4. ULTRASOUND MEASUREMENT OF THE FETAL HEAD TO ABDOMEN CIRCUMFERENCE RATIO IN THE ASSESSMENT OF GROWTH RETARDATION