Performance Analysis of a Novel Hybrid Segmentation Method for Polycystic Ovarian Syndrome Monitoring
: Experts have used ultrasound imaging to manually determine follicle count and perform measurements, especially in cases of polycystic ovary syndrome (PCOS). However, due to the laborious and error-prone process of manual diagnosis, researchers have explored and developed medical image processing...
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主要な著者: | Nazarudin, Asma’ Amirah, Zulkarnain, Noraishikin, Mokri, Siti Salasiah, Wan Zaki, Wan Mimi Diyana, Hussain, Aini, Ahmad, Mohd Faizal, Mohd Nordin, Najaa Aimi |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Mdpi
2023
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主題: | |
オンライン・アクセス: | http://eprints.uthm.edu.my/10290/1/J15891_a3d347f8edddeb01c372c95d56a57036.pdf http://eprints.uthm.edu.my/10290/ https://doi.org/10.3390/diagnostics13040750 |
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Performance Analysis of a Novel Hybrid Segmentation Method
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著者:: Nazarudin, Asma’ Amirah, 等
出版事項: (2023)