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Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images
INTRODUCTION: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian tumors. However, ultrasonography is highly examin...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6660116/ https://ncbi.nlm.nih.gov/pubmed/31348783 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0219388 |
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