Automatic detection of follicular regions in H&E images using iterative shape index

被引：26

作者：

Belkacem-Boussaid, K. ^{[1
]}

Samsi, S. ^{[2
]}

Lozanski, G. ^{[3
]}

Gurcan, M. N. ^{[1
]}

机构：

[1] Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA

[2] Ohio State Univ, Ohio Supercomp Ctr, Columbus, OH 43212 USA

[3] Ohio State Univ, Dept Pathol, Columbus, OH 43210 USA

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2011年 / 35卷 / 7-8期

关键词：

Follicular lymphoma; Active contour; Morphological filtering; Recursive concavity index; Recursive watershed; Fourier descriptor; Zijdenbos similarity index; DECORRELATION;

D O I：

10.1016/j.compmedimag.2011.03.001

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Follicular Lymphoma (FL) accounts for 20-25% of non-Hodgkin lymphomas in the United States. The first step in grading FL is identifying follicles. Our paper discusses a novel technique to segment follicular regions in H&E stained images. The method is based on three successive steps: (1) region-based segmentation. (2) iterative shape index (concavity index) calculation, (3) and recursive watershed. A novel aspect of this method is the use of iterative Concavity Index (Cl) to control the follicular splitting process in recursive watershed. Cl takes into consideration the convex hull of the object and the closest area surrounding it. The mean Zijbendos similarity index (ZSI) final segmentation score on fifteen cases was 78.33%, with a standard deviation of 2.83. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：592 / 602

页数：11

共 38 条

[21]

Kong J, 2007, ASH 2007

[22] AUTOMATED CELL COUNTING AND CLUSTER SEGMENTATION USING CONCAVITY DETECTION AND ELLIPSE FITTING TECHNIQUES [J].

Kothari, Sonal ;

Chaudry, Qaiser ;

Wang, May D. .

2009 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1 AND 2, 2009, :795-798

[23] A survey of shape analysis techniques [J].

Loncaric, S .

PATTERN RECOGNITION, 1998, 31 (08) :983-1001

[24]

Mather P.M., 1999, COMPUTER PROCESSING, VSecond

[25]

Oliver S, 2009, J MATH IMAG VIS

[26] ADAPTIVE-NEIGHBORHOOD HISTOGRAM EQUALIZATION FOR IMAGE-ENHANCEMENT [J].

PARANJAPE, RB ;

MORROW, WM ;

RANGAYYAN, RM .

CVGIP-GRAPHICAL MODELS AND IMAGE PROCESSING, 1992, 54 (03) :259-267

[27] SHAPE DISCRIMINATION USING FOURIER DESCRIPTORS [J].

PERSOON, E ;

FU, KS .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1977, 7 (03) :170-179

[28] Radial symmetries based decomposition of cell clusters in binary and gray level images [J].

Schmitt, Oliver ;

Hasse, Maria .

PATTERN RECOGNITION, 2008, 41 (06) :1905-1923

[29]

Sertel O, 2008, SPIE MED IMAGING 08

[30]

Soille P., 2013, MORPHOLOGICAL IMAGE

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