Detection of u-serrated patterns in direct immunofluorescence images of autoimmune bullous diseases by inhibition-augmented COSFIRE filters
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Gilles F. H. Diercksr | N. Petkov | D. Zillikens | G. Azzopardi | Jiapan Guo | M. Jonkman | E. Schmidt | J. Meijer | Chenyu Shi
[1] A. Yuille,et al. A Novel Linelet-Based Representation for Line Segment Detection , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Andrew H. Beck,et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer , 2017, JAMA.
[3] Shihui Ying,et al. Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier , 2017, IEEE Journal of Biomedical and Health Informatics.
[4] Ioannis Kalatzis,et al. Adaptable pattern recognition system for discriminating Melanocytic Nevi from Malignant Melanomas using plain photography images from different image databases , 2017, Int. J. Medical Informatics.
[5] Feng Zhou,et al. Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis , 2017, IEEE Journal of Biomedical and Health Informatics.
[6] Chenyu Shi,et al. Inhibition-augmented COSFIRE model of shape-selective neurons , 2017, IBM J. Res. Dev..
[7] R. Ludwig,et al. Clinical features and diagnosis of epidermolysis bullosa acquisita , 2017, Expert review of clinical immunology.
[8] George Azzopardi,et al. Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters , 2016, Machine Vision and Applications.
[9] Chenyu Shi,et al. Inhibition-augmented trainable COSFIRE filters for keypoint detection and object recognition , 2016, Machine Vision and Applications.
[10] Mihaela van der Schaar,et al. Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening , 2016, IEEE Journal of Biomedical and Health Informatics.
[11] D. Zillikens,et al. Automated direct immunofluorescence analyses of skin biopsies , 2016, Journal of cutaneous pathology.
[12] Chenyu Shi,et al. Automatic Differentiation of u- and n-serrated Patterns in Direct Immunofluorescence Images , 2015, CAIP.
[13] George Azzopardi,et al. Multiscale Blood Vessel Delineation Using B-COSFIRE Filters , 2015, CAIP.
[14] M. E. Celebi,et al. Improving Dermoscopy Image Classification Using Color Constancy , 2015, IEEE Journal of Biomedical and Health Informatics.
[15] George Azzopardi,et al. Trainable COSFIRE filters for vessel delineation with application to retinal images , 2015, Medical Image Anal..
[16] Nicola Bizzaro,et al. Automated antinuclear immunofluorescence antibody screening: a comparative study of six computer-aided diagnostic systems. , 2014, Autoimmunity reviews.
[17] J. Meijer,et al. The n‐ vs. u‐serration is a learnable criterion to differentiate pemphigoid from epidermolysis bullosa acquisita in direct immunofluorescence serration pattern analysis , 2013, The British journal of dermatology.
[18] D. Zillikens,et al. Pemphigoid diseases , 2013, The Lancet.
[19] George Azzopardi,et al. Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] George Azzopardi,et al. A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model , 2012, Biological Cybernetics.
[21] M. Jonkman,et al. The many faces of epidermolysis bullosa acquisita after serration pattern analysis by direct immunofluorescence microscopy , 2011, The British journal of dermatology.
[22] Alireza Alaei,et al. A new scheme for unconstrained handwritten text-line segmentation , 2011, Pattern Recognit..
[23] Rafael Grompone von Gioi,et al. LSD: A Fast Line Segment Detector with a False Detection Control , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Sharath Pankanti,et al. Learning fingerprint minutiae location and type , 2003, Pattern Recognit..
[25] Agnès Desolneux,et al. Vanishing Point Detection without Any A Priori Information , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[26] Kuo-Chin Fan,et al. Fingerprint ridge allocation in direct gray-scale domain , 2001, Pattern Recognit..
[27] Mohamed S. Kamel,et al. A genetic algorithm for the estimation of ridges in fingerprints , 1999, IEEE Trans. Image Process..
[28] G. F. McLean,et al. Vanishing Point Detection by Line Clustering , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[29] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Miguel Tavares Coimbra,et al. Content-Adaptive Region-Based Color Texture Descriptors for Medical Images , 2017, IEEE Journal of Biomedical and Health Informatics.
[31] George Azzopardi,et al. Unsupervised delineation of the vessel tree in retinal fundus images , 2016 .
[32] Chenyu Shi,et al. Automatic Classification of Serrated Patterns in Direct Immunofluorescence Images , 2015 .
[33] Sylvain Berlemont,et al. Combining Local Filtering and Multiscale Analysis for Edge, Ridge, and Curvilinear Objects Detection , 2010, IEEE Transactions on Image Processing.
[34] Kuo-Liang Chung,et al. New orientation-based elimination approach for accurate line-detection , 2010, Pattern Recognit. Lett..
[35] Horst Bischof,et al. Modelling fingerprint ridge orientation using Legendre polynomials , 2010, Pattern Recognit..
[36] R. Vodegel,et al. Clinical and Laboratory Investigations U-serrated immunodeposition pattern differentiates type VII collagen targeting bullous diseases from other subepidermal bullous autoimmune diseases , 2004 .
[37] Josef Smolle,et al. Tissue counter analysis of benign common nevi and malignant melanoma , 2003, Int. J. Medical Informatics.