Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
YOLOV4-BASED CNN MODEL VERSUS NESTED CONTOURS ALGORITHM IN THE SUSPICIOUS LESION DETECTION ON THE MAMMOGRAPHY IMAGE: A DIRECT COMPARISON IN THE REAL CLINICAL SETTINGS
Form of presentationArticles in international journals and collections
Year of publication2022
Языканглийский
  • Kolchev Aleksey Anatolevich, author
  • Tumakov Dmitriy Nikolaevich, author
  • Bibliographic description in the original language Kolchev A, Pasynkov D, Egoshin I, YOLOv4-Based CNN Model versus Nested Contours Algorithm in the Suspicious Lesion Detection on the Mammography Image: A Direct Comparison in the Real Clinical Settings//Journal of Imaging. - 2022. - Vol.8, Is.4. - Art. №88.
    Keywords маммограммы; глубокое обучение; YOLOv4-нейронная сеть
    The name of the journal Journal of Imaging
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127757787&doi=10.3390%2fjimaging8040088&partnerID=40&md5=7268c1b533bd4f089adf1eec717994bd
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=266039&p_lang=2

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