Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

作者: Fuyong Xing , Lin Yang

DOI: 10.1109/RBME.2016.2515127

关键词:

摘要: Digital pathology and microscopy image analysis is widely used for comprehensive studies of cell morphology or tissue structure. Manual assessment is labor intensive and prone to interobserver variations. Computer-aided methods, which can significantly improve the objectivity and reproducibility, have attracted a great deal of interest in recent literature. Among the pipeline of building a computer-aided diagnosis system, nucleus or cell detection and segmentation play a very important role to describe the molecular morphological …

参考文章(318)
C. Nastar, N. Ayache, Frequency-based nonrigid motion analysis: application to four dimensional medical images IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 18, pp. 1067- 1079 ,(1996) , 10.1109/34.544076
Maria-Milagro Fernández-Carrobles, Irene Tadeo, Rosa Noguera, Marcial García-Rojo, Oscar Déniz, Jesús Salido, Gloria Bueno, A morphometric tool applied to angiogenesis research based on vessel segmentation Diagnostic Pathology. ,vol. 8, pp. 1- 5 ,(2013) , 10.1186/1746-1596-8-S1-S20
T.F. Chan, L.A. Vese, Active contours without edges IEEE Transactions on Image Processing. ,vol. 10, pp. 266- 277 ,(2001) , 10.1109/83.902291
S. Arslan, T. Ersahin, R. Cetin-Atalay, C. Gunduz-Demir, Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images IEEE Transactions on Medical Imaging. ,vol. 32, pp. 1121- 1131 ,(2013) , 10.1109/TMI.2013.2255309
Ronan Collobert, Jason Weston, A unified architecture for natural language processing Proceedings of the 25th international conference on Machine learning - ICML '08. pp. 160- 167 ,(2008) , 10.1145/1390156.1390177
S. Farhand, R. B. Montero, X. Vial, D. T. Nguyen, M. Reardon, S. M. Pham, F. M. Andreopoulos, G. Tsechpenakis, Probabilistic multi-compartmenty geometric model: Application to cell segmentation 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI). pp. 174- 177 ,(2012) , 10.1109/ISBI.2012.6235512
R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, Sabine Süsstrunk, SLIC Superpixels Compared to State-of-the-Art Superpixel Methods IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 34, pp. 2274- 2282 ,(2012) , 10.1109/TPAMI.2012.120
F. Cloppet, A. Boucher, Segmentation of overlapping/aggregating nuclei cells in biological images international conference on pattern recognition. pp. 1- 4 ,(2008) , 10.1109/ICPR.2008.4761451
W. Shitong, W. Min, A new detection algorithm (NDA) based on fuzzy cellular neural networks for white blood cell detection international conference of the ieee engineering in medicine and biology society. ,vol. 10, pp. 5- 10 ,(2006) , 10.1109/TITB.2005.855545
A. Levinshtein, A. Stere, K.N. Kutulakos, D.J. Fleet, S.J. Dickinson, K. Siddiqi, TurboPixels: Fast Superpixels Using Geometric Flows IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 31, pp. 2290- 2297 ,(2009) , 10.1109/TPAMI.2009.96