Architecture of YOLOv8 for follicle detection in PCOS.
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posted on 2024-08-15, 17:48 authored by Sowmiya S., Snekhalatha Umapathy, Omar Alhajlah, Fadiyah Almutairi, Shabnam Aslam, Ahalya R. K.Architecture of YOLOv8 for follicle detection in PCOS.
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whereas statistical featurestwo different datasetstochastic gradient descentprimary objectives encompasshybrid fuzzy cextract statistical featuresderived using graydataset 2 consistsovarian follicles usingidentified follicles usingdiv >< pvarious ml modelsimpressive classification accuracytrained modelsfollicles netyolov8 methodvision transformersubsequently segmentstudy ’rf ),research involvedrandom forestoccurrence matricesobject detectionmachine learninglevel cok healthy controlsglcm ).follicle detectionefficient tooldeep learningdataset2 respectively>- star
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