Joint shape matching for overlapping cytoplasm segmentation in cervical smear images

• Main Authors: SONG, Youyi, QIN, Jing, LEI, Baiying, HE, Shengfeng, CHOI, Kup-Sze
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Cervical smear images; Color information; Effective approaches; Objective function; ; Segmentation accuracy; Shape information; State-of-the-art methods; Technical contribution; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8563
• Institution: Singapore Management University

We present a novel and effective approach to segmenting overlapping cytoplasm of cells in cervical smear images. Instead of simply combining individual cytoplasm shape information with the intensity or color information for the segmentation, our approach aims at simultaneously matching an accurate s...