Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells

IEEE Journal of Biomedical and Health Informatics

Volumn 21, Issue 2, 2017, Pages 441-450

  Lu, Zhi ^a   Carneiro, Gustavo ^a   Bradley, Andrew P ^b   Ushizima, Daniela ^c   Nosrati, Masoud S ^d   Bianchi, Andrea G C ^e   Carneiro, Claudia M ^e   Hamarneh, Ghassan ^e  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^d SIMON FRASER UNIVERSITY   (Canada)

^e FEDERAL UNIVERSITY OF OURO PRETO   (Brazil)

Author keywords

Challenge; Overlapping cell segmentation; Pap smear image analysis

Indexed keywords

AUTOMATION; CELLS; COMPUTER AIDED DIAGNOSIS; CYTOLOGY; MEDICAL IMAGING;

CERVICAL CYTOLOGY IMAGES; CHALLENGE; COMPUTER AIDED DIAGNOSIS SYSTEMS; FUTURE IMPROVEMENTS; OVERLAP COEFFICIENTS; OVERLAPPING CELLS; PAP SMEAR IMAGES; QUANTITATIVE EVALUATION;

IMAGE SEGMENTATION;

ARTICLE; CELL AGGREGATION; CELL NUCLEUS; CELL SEGMENTATION; CELL SHAPE; CELL SIZE; CELLULAR PARAMETERS; CERVICAL CELL OVERLAPPING; CYTOPLASM; FEMALE; HUMAN; MATHEMATICAL PARAMETERS; PROGRAM EVALUATION; QUALITATIVE VALIDITY; UTERINE CERVIX CYTOLOGY; ALGORITHM; CYTOLOGY; DIAGNOSTIC IMAGING; IMAGE PROCESSING; MICROSCOPY; PAPANICOLAOU TEST; PROCEDURES; UTERINE CERVIX; UTERINE CERVIX TUMOR;

ALGORITHMS; CERVIX UTERI; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY; PAPANICOLAOU TEST; UTERINE CERVICAL NEOPLASMS;

EID: 85015719304     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2016.2519686     Document Type: Article

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