A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set

Computer Methods and Programs in Biomedicine

Volumn 123, Issue , 2016, Pages 43-53

  Guo, Yanhui ^a   Şengür, Abdulkadir ^b   Tian, Jia Wei ^c  

^a UNIVERSITY OF ILLINOIS AT SPRINGFIELD   (United States)

^b FIRAT UNIVERSITY   (Turkey)

^c Second Hospital Affiliated to Harbin Medical University   (China)

Author keywords

Breast ultrasound; Image segmentation; Level set; Neutrosophic set; Similarity score

Indexed keywords

ALGORITHMS; BUSES; MEDICAL IMAGING; NUMERICAL METHODS; TUMORS; ULTRASONICS;

BREAST ULTRASOUND; BREAST ULTRASOUND IMAGES; IMAGE SEGMENTATION ALGORITHM; LEVEL SET; LEVEL SET ALGORITHM; NEUTROSOPHIC SETS; SIMILARITY SCORES; ULTRASOUND IMAGES;

IMAGE SEGMENTATION;

ARTICLE; BREAST CANCER; CANCER LOCALIZATION; CANCER SIZE; ECHOMAMMOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; LEARNING ALGORITHM; MEASUREMENT ACCURACY; NEUTROSOPHIC SIMILARITY SCORE; SCORING SYSTEM; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; CLINICAL DECISION SUPPORT SYSTEM; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; EVALUATION STUDY; FEMALE; MEDICAL INFORMATICS; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; BREAST NEOPLASMS; DECISION SUPPORT SYSTEMS, CLINICAL; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MEDICAL INFORMATICS APPLICATIONS; PATTERN RECOGNITION, AUTOMATED; ULTRASONOGRAPHY, MAMMARY;

EID: 84959852002     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2015.09.007     Document Type: Article

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