Litcius/Paper detail

Multilevel thresholding based follicle detection and classification of polycystic ovary syndrome from the ultrasound images using machine learning

Chandrasekhar Gopalakrishnan, M. Iyapparaja

2021International Journal of Systems Assurance Engineering and Management53 citationsDOI

Topics & Concepts

Polycystic ovaryArtificial intelligenceThresholdingComputer scienceNaive Bayes classifierMachine learningSupport vector machineFeature extractionAnovulationPattern recognition (psychology)MedicineDiabetes mellitusEndocrinologyImage (mathematics)Insulin resistanceOvarian function and disordersUltrasound and Hyperthermia Applications
Multilevel thresholding based follicle detection and classification of polycystic ovary syndrome from the ultrasound images using machine learning | Litcius