Automatic vaginal bacteria segmentation and classification based on superpixel and deep learning

Journal of Medical Imaging and Health Informatics

Volumn 4, Issue 5, 2014, Pages 781-786

  Song, Youyi ^a   Ni, Dong ^a   Zeng, Zhongming ^b   He, Liang ^b   Chen, Siping ^a   Lei, Baiying ^a   Wang, Tianfu ^a  

^a Shenzhen University School of Medicine   (China)

^b The 6th Affiliated Hospital of Shenzhen University Health Science Center   (China)

Author keywords

Classification; Deep Learning; Superpixel; Vaginal Bacteria Segmentation

Indexed keywords

ADULT; AUTOMATIC VAGINAL BACTERIA SEGMENTATION; AUTOMATION; CLASSIFICATION; CLASSIFIER; CONFERENCE PAPER; DEEP LEARNING; FEMALE; HUMAN; MAJOR CLINICAL STUDY; NONHUMAN; RADIOLOGICAL PROCEDURES; SENSITIVITY AND SPECIFICITY; SUPERPIXEL; SUPPORT VECTOR MACHINE; VAGINA FLORA;

EID: 84911403786     PISSN: 21567018     EISSN: 21567026     Source Type: Journal    
DOI: 10.1166/jmihi.2014.1320     Document Type: Conference Paper

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