NDLI: Multifeature-based medical image segmentation

Content Provider	IET Digital Library
Author	Kurmi, Yashwant Chaurasia, Vijayshri
Abstract	Histopathology image segmentation is an important area in the field of computer aided diagnosis using image processing. This study presents a local feature-based novel technique for the segmentation of histopathology images. It mainly focuses on a system that segments overlapped nuclei (OLN) without affecting the general non-OLN segmentation performance. The proposed method suggests a three-stage system. The initial segmentation is done by using local features for the demarcation of nuclei regions. In the second stage, salient-based active contour is applied for complete nucleus-region identification. In the final step, the OLN are identified and segmented using a Gaussian distribution and entropy maximisation. The performance of the proposed segmentation method is evaluated on the basis of precision, recall, accuracy, and F 1 -score. The proposed method is simulated on animal diagnostics laboratory histopathology image dataset and reported 90.3% average accuracy with average F 1-score 0.937. Simulation results confirm the superiority of the proposed method as compared with the existing state-of-art methods.
Starting Page	1491
Ending Page	1498
Page Count	8
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 8, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1020
Journal	IET Image Processing
Publisher Date	2018-03-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Animal Diagnostics Laboratory Histopathology Image Dataset Biology And Medical Computing Biomedical Measurement And Imaging Biomedical Optical Imaging Complete Nucleus-region Identification Computer Aided Diagnosis Computer Vision And Image Processing Technique Entropy Entropy Maximisation Feature Extraction Gaussian Distribution Health Physics Histopathology Image Histopathology Image Segmentation Image Processing Image Segmentation Initial Segmentation Local Feature Medical And Biomedical Uses of Field Medical Image Processing Medical Image Segmentation NonOLN Segmentation Performance Nuclei Region Demarcation OLN Optical, Image And Video Signal Processing Probability Theory Radiations Radioactivity Salient-based Active Contour Statistics Stochastic Linearised SCUC Three-stage System
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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