Separation of overlapping bacilli in microscopic digital TB images

Tuberculosis, 2013 2013 Veropoulos, 2001 Lumb, 2005 Global Tuberculosis Control, 2011 2007 Tadrous, 2010, Computer-assisted screening of Ziehl–Neelsen-stained tissue for mycobacteria. Algorithm design and preliminary studies on 2,000 images, Am J Clin Pathol, 133, 849, 10.1309/AJCPMR3BLVBH8THV Sotaquira, 2009, Detection and quantification of bacilli and clusters present in sputum smear samples: a novel algorithm for pulmonary tuberculosis diagnosis, 117 Costa, 2008, Automatic identification of Mycobacterium tuberculosis with conventional light microscopy, 382 Ramana, 2004, Neural image recognition system with application to tuberculosis detection, 694 Steingart, 2006, Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review, Lancet Infect Dis, 6, 570, 10.1016/S1473-3099(06)70578-3 2013 2011 Khutlang, 2010, Automated detection of tuberculosis in Ziehl–Neelsen-stained sputum smears using two one-class classifiers, J Microsc, 237, 96, 10.1111/j.1365-2818.2009.03308.x Forero, 2006, Automatic identification of Mycobacterium tuberculosis by Gaussian mixture models, J Microsc, 223, 120, 10.1111/j.1365-2818.2006.01610.x Wu, 2008 Zhai, 2010, Automatic identification of Mycobacterium tuberculosis from ZN-stained sputum smear: algorithm and system design, 41 Korath, 2007, Separating touching and overlapping objects in particle images – a combined approach, Chem Eng Trans, 11, 167 Xue, 2010, A general approach for segmenting elongated and stubby biological objects: extending a chord length transform with the radon transform, 161 Wienert, 2012, Detection and segmentation of cell nuclei in virtual microscopy images: a minimum-model approach, Sci Rep, 503 Wittenberg, 2004, A semantic approach to segmentation of overlapping objects, Methods Inf Med, 43, 343, 10.1055/s-0038-1633889 Qi, 2012, Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set, IEEE Trans Biomed Eng, 59, 754, 10.1109/TBME.2011.2179298 Park, 2013, Segmentation, inference and classification of partially overlapping nanoparticles, IEEE Trans Pattern Anal Mach Intell, 35, 1, 10.1109/TPAMI.2012.163 Nee, 2012, White blood cell segmentation for acute leukemia bone marrow images, J Med Imaging Health Inf, 2, 278, 10.1166/jmihi.2012.1099 Zhang, 2008, 3D axon structure extraction and analysis in confocal fluorescence microscopy images, Neural Comput, 20, 1899, 10.1162/neco.2008.05-07-519 Sharif, 2012, Red blood cell segmentation using masking and watershed algorithm: a preliminary study, 258 Wahlby, 2002, Algorithms for cytoplasm segmentation of fluorescence labelled cells, Anal Cell Pathol, 24, 101, 10.1155/2002/821782 Farhan, 2013, A novel method for splitting clumps of convex objects incorporating image intensity and using rectangular window-based concavity point-pair search, Pattern Recognit, 46, 741, 10.1016/j.patcog.2012.09.008 Gu, 2012, Segmentation of overlapping leucocyte images with phase detection and spiral interpolation, Comput Methods Biomech Biomed Eng, 15, 425, 10.1080/10255842.2010.539565 Chan, 2002, Active contour and segmentation models using geometric PDE's for medical imaging, 63 Mendhurwar, 2009, Microarray image segmentation using Chan–Vese active contour model and level set method, 3629 Chen, 2004, A comparative study of Fourier descriptors and Hu's seven moment invariants for image recognition, 103 Huang, 2010, Analysis of Hu's moment invariants on image scaling and rotation, 476 Arvacheh, 2005, Pattern analysis using Zernike moments, 1574 Tahmasbi, 2011, Classification of benign and malignant masses based on Zernike moments, Comput Biol Med, 41, 726, 10.1016/j.compbiomed.2011.06.009 Chang, 2012, Automated tuberculosis diagnosis using fluorescence images from a mobile microscope, Med Image Comput Comput Assist Interv, 15, 345 Wu, 2011, Level set with embedded conditional random fields and shape priors for segmentation of overlapping objects, 230