2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST) 2022
DOI: 10.1109/aist55798.2022.10064817
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Machine learning techniques for medical images in PCOS

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Cited by 7 publications
(1 citation statement)
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“…Considering the underdiagnoses of PCOS, lack of experts in ultrasound imaging, and overall low patient-physician ratio across globe, there arises a need of modern diagnostic methods to fight PCOS. AI is predicted to have profound effects on the future of ultrasound imaging technology in the context of contrast enhancement, quality assessment, abnormality-based video summarization, annotations, measurements, and its artefact removal [7,8]. Machine learning-based algorithms may help in automatic classification, detection and segmentation of polycystic ovaries observed in ultrasound imaging.…”
Section: Motivationmentioning
confidence: 99%
“…Considering the underdiagnoses of PCOS, lack of experts in ultrasound imaging, and overall low patient-physician ratio across globe, there arises a need of modern diagnostic methods to fight PCOS. AI is predicted to have profound effects on the future of ultrasound imaging technology in the context of contrast enhancement, quality assessment, abnormality-based video summarization, annotations, measurements, and its artefact removal [7,8]. Machine learning-based algorithms may help in automatic classification, detection and segmentation of polycystic ovaries observed in ultrasound imaging.…”
Section: Motivationmentioning
confidence: 99%