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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
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| Soggetti: | |
| Accesso online: | 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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