TY - GEN
T1 - A mini review on the design of interactive tool for medical image segmentation
AU - Khaizi, Aida Syafiqah Ahmad
AU - Rosidi, Rasyiqah Annani Mohd
AU - Gan, Hong Seng
AU - Sayuti, Khairil Amir
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/15
Y1 - 2017/12/15
N2 - Manual segmentation has been widely accepted in medical image analysis because the user will assume absolute control over final output. Nonetheless, the method is infamous for being time consuming and sensitive to inter-observer variability. Semi-automated methods incorporate user knowledge to initialize computerized segmentation and thus, is a versatile approach to tackle real time segmentation problem. Interactive tool or Graphic User Interface is the most critical medium of communication between user and computer but this element has always been neglected. Intuitively, the design of efficient interactive tool will impose significant effect on segmentation efficiency. In this work, we have presented a mini review on the design element of graphic user interface in medical image segmentation to highlight the importance of this tool in ensuring desirable segmentation output.
AB - Manual segmentation has been widely accepted in medical image analysis because the user will assume absolute control over final output. Nonetheless, the method is infamous for being time consuming and sensitive to inter-observer variability. Semi-automated methods incorporate user knowledge to initialize computerized segmentation and thus, is a versatile approach to tackle real time segmentation problem. Interactive tool or Graphic User Interface is the most critical medium of communication between user and computer but this element has always been neglected. Intuitively, the design of efficient interactive tool will impose significant effect on segmentation efficiency. In this work, we have presented a mini review on the design element of graphic user interface in medical image segmentation to highlight the importance of this tool in ensuring desirable segmentation output.
KW - Interactive Tools
KW - Medical Image
KW - Segmentation
KW - User Input
UR - http://www.scopus.com/inward/record.url?scp=85046395704&partnerID=8YFLogxK
U2 - 10.1109/ICE2T.2017.8215985
DO - 10.1109/ICE2T.2017.8215985
M3 - Conference Proceeding
AN - SCOPUS:85046395704
T3 - 2017 International Conference on Engineering Technology and Technopreneurship, ICE2T 2017
SP - 1
EP - 4
BT - 2017 International Conference on Engineering Technology and Technopreneurship, ICE2T 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Engineering Technology and Technopreneurship, ICE2T 2017
Y2 - 18 September 2017 through 20 September 2017
ER -