First review on psoriasis severity risk stratification: An engineering perspective
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Jasjit S. Suri | Narendra D. Londhe | Vimal K. Shrivastava | Rajendra S. Sonawane | V. K. Shrivastava | J. Suri | N. Londhe
[1] C. Camisa,et al. Handbook of Psoriasis , 1998 .
[2] W. Chang,et al. Computer-Aided Diagnosis of Skin Lesions Using Conventional Digital Photography: A Reliability and Feasibility Study , 2013, PloS one.
[3] T Fikrle,et al. Digital computer analysis of dermatoscopical images of 260 melanocytic skin lesions; perimeter/area ratio for the differentiation between malignant melanomas and melanocytic nevi , 2007, Journal of the European Academy of Dermatology and Venereology : JEADV.
[4] N. Schork,et al. SUICIDAL IDEATION IN PSORIASIS , 1993, International journal of dermatology.
[5] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[6] Ilias Maglogiannis,et al. Characterization of digital medical images utilizing support vector machines , 2004, BMC Medical Informatics Decis. Mak..
[7] Marko Wilke,et al. An Iterative Jackknife Approach for Assessing Reliability and Power of fMRI Group Analyses , 2012, PloS one.
[8] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[9] Ilias Maglogiannis,et al. An integrated computer supported acquisition, handling, and characterization system for pigmented skin lesions in dermatological images , 2005, IEEE Transactions on Information Technology in Biomedicine.
[10] Ming-Ni Wu,et al. Psoriasis image identification using k-means clustering with morphological processing , 2011 .
[11] T. Henseler,et al. Genetics of psoriasis , 1998, Archives of Dermatological Research.
[12] U. Rajendra Acharya,et al. Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization , 2013, Comput. Methods Programs Biomed..
[13] U. Rajendra Acharya,et al. Author's Personal Copy Biomedical Signal Processing and Control Automated Diagnosis of Epileptic Eeg Using Entropies , 2022 .
[14] Filippo Molinari,et al. Ovarian Tissue Characterization in Ultrasound , 2015, Technology in cancer research & treatment.
[15] Roberto Battiti,et al. Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.
[16] Antonio Soriano Payá,et al. A decision support system for the diagnosis of melanoma: A comparative approach , 2011, Expert Syst. Appl..
[17] Hurriyatul Fitriyah,et al. Objective Assessment of Psoriasis Lesion Thickness for PASI Scoring using 3D Digital Imaging , 2010 .
[18] Jasjit S. Suri,et al. Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm , 2015, Expert Syst. Appl..
[19] Cordelia Schmid,et al. A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[20] A. Pašić,et al. Phototherapy of psoriasis: review and update. , 2004, Acta dermatovenerologica Croatica : ADC.
[21] Thomas Roß,et al. Feature selection for optimized skin tumor recognition using genetic algorithms , 1999, Artif. Intell. Medicine.
[22] Abhay Chowdhary,et al. Artificial Neural Network Application in the Diagnosis of Disease Conditions with Liver Ultrasound Images , 2014, Adv. Bioinformatics.
[23] U. Rajendra Acharya,et al. GyneScan: An Improved Online Paradigm for Screening of Ovarian Cancer via Tissue Characterization , 2014, Technology in cancer research & treatment.
[24] Vesna Petronic-Rosic,et al. Psoriasis: epidemiology, natural history, and differential diagnosis , 2012 .
[25] Jochen Schmitt,et al. The Psoriasis Area and Severity Index Is the Adequate Criterion to Define Severity in Chronic Plaque-Type Psoriasis , 2005, Dermatology.
[26] Lucila Ohno-Machado,et al. A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions , 2001, J. Biomed. Informatics.
[27] A. Taleb-Ahmed,et al. Extraction of specific parameters for skin tumour classification , 2009, Journal of medical engineering & technology.
[28] Saeed Setayeshi,et al. Computer-aided diagnosis (CAD) of the skin disease based on an intelligent classification of sonogram using neural network , 2012, Neural Computing and Applications.
[29] Randy H. Moss,et al. A methodological approach to the classification of dermoscopy images , 2007, Comput. Medical Imaging Graph..
[30] Juan Lu,et al. A quantitative technique for assessing the change in severity over time in psoriatic lesions using computer aided image analysis , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[31] Kristin J. Dana,et al. Bidirectional imaging and modeling of skin texture , 2004, IEEE Transactions on Biomedical Engineering.
[32] Nizar Saadi Dahir,et al. Psoriasis Detection Using Skin Color and Texture Features , 2010 .
[33] A. Wayne Whitney,et al. A Direct Method of Nonparametric Measurement Selection , 1971, IEEE Transactions on Computers.
[34] Arash Taheri,et al. Computer-aided dermoscopy for diagnosis of melanoma , 2005, BMC dermatology.
[35] David A. Clausi,et al. MSIM: Multistage Illumination Modeling of Dermatological Photographs for Illumination-Corrected Skin Lesion Analysis , 2013, IEEE Transactions on Biomedical Engineering.
[36] Jorge S. Marques,et al. Improving Dermoscopy Image Classification Using Color Constancy , 2015, IEEE Journal of Biomedical and Health Informatics.
[37] E Y K Ng,et al. Data Mining Approach to Evaluating the use of Skin Surface Electropotentials for Breast Cancer Detection , 2010, Technology in cancer research & treatment.
[38] Thomas Morrow,et al. Evaluating new therapies for psoriasis. , 2004, Managed care.
[39] C. Griffiths,et al. Psoriasis: epidemiology, clinical features, and quality of life , 2005, Annals of the rheumatic diseases.
[40] Huan Yu,et al. Coregistered FDG PET/CT-Based Textural Characterization of Head and Neck Cancer for Radiation Treatment Planning , 2009, IEEE Transactions on Medical Imaging.
[41] Juan Lu,et al. Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis , 2012, Australasian Conference on Artificial Intelligence.
[42] T. Schäfer,et al. Epidemiology of Psoriasis , 2006, Dermatology.
[43] V. S. Asirvadam,et al. Implementation of fuzzy c-means clustering for Psoriasis Assessment on lesion erythema , 2012, 2012 IEEE Symposium on Industrial Electronics and Applications.
[44] Juanying Xie,et al. Using support vector machines with a novel hybrid feature selection method for diagnosis of erythemato-squamous diseases , 2011, Expert Syst. Appl..
[45] Marko Kreft,et al. Computer-aided measurement of psoriatic lesion area in a multicenter clinical trial--comparison to physician's estimations. , 2006, Journal of dermatological science.
[46] Mark A. Hall,et al. Correlation-based Feature Selection for Machine Learning , 2003 .
[47] Xianghua Xie,et al. Handbook of Texture Analysis , 2008 .
[48] José Antonio Lozano,et al. Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Frank O. Nestle,et al. Mechanisms of psoriasis , 2004 .
[50] F. Aubin,et al. What are the best outcome measures for assessing plaque psoriasis severity? A systematic review of the literature , 2010, Journal of the European Academy of Dermatology and Venereology : JEADV.
[51] D. Casasent,et al. Improved forward floating selection algorithm for feature subset selection , 2008, 2008 International Conference on Wavelet Analysis and Pattern Recognition.
[52] Christos P. Loizou,et al. Evaluation of wound healing process based on texture image analysis , 2013 .
[53] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[54] Patrick van der Smagt,et al. Introduction to neural networks , 1995, The Lancet.
[55] Mohamad Saraee,et al. A Survey on Utilization of Data Mining Approaches for Dermatological (Skin) Diseases Prediction , 2011 .
[56] S. Feldman,et al. Psoriasis assessment tools in clinical trials , 2005, Annals of the rheumatic diseases.
[57] E. Zare Bidaki,et al. Lesion area assessment in psoriasis patients , 2011, Journal of medical engineering & technology.
[58] Chih-Hao Chen,et al. Applying decision tree and neural network to increase quality of dermatologic diagnosis , 2009, Expert Syst. Appl..
[59] Prabir Bhattacharya,et al. An integrated and interactive decision support system for automated melanoma recognition of dermoscopic images , 2010, Comput. Medical Imaging Graph..
[60] Guoqing Wang,et al. Gene expression profile based classification models of psoriasis. , 2014, Genomics.
[61] T Lee,et al. Dullrazor®: A software approach to hair removal from images , 1997, Comput. Biol. Medicine.
[62] Andrea B Troxel,et al. The risk of depression, anxiety, and suicidality in patients with psoriasis: a population-based cohort study. , 2010, Archives of dermatology.
[63] Dan M Cooper,et al. Hormonal effect on psoriasis in pregnancy and post partum. , 2005, Archives of dermatology.
[64] Juan Lu,et al. Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images , 2013, IEEE Transactions on Medical Imaging.
[65] Thomas Marill,et al. On the effectiveness of receptors in recognition systems , 1963, IEEE Trans. Inf. Theory.
[66] Vijanth S. Asirvadam,et al. 3D surface roughness measurement for scaliness scoring of psoriasis lesions , 2013, Comput. Biol. Medicine.
[67] Marios S. Pattichis,et al. ltrasound image texture analysis of the intima and media layers of the ommon carotid artery and its correlation with age and gender , 2009 .
[68] Rangaraj M. Rangayyan,et al. Classification of Color Images of Dermatological Ulcers , 2013, IEEE Journal of Biomedical and Health Informatics.
[69] I. Kononenko,et al. INDUCTION OF DECISION TREES USING RELIEFF , 1995 .
[70] Ammara Masood,et al. Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms , 2013, Int. J. Biomed. Imaging.
[71] Ilias Maglogiannis,et al. Overview of Advanced Computer Vision Systems for Skin Lesions Characterization , 2009, IEEE Transactions on Information Technology in Biomedicine.
[72] M. Lebwohl,et al. The impact of psoriasis on quality of life: results of a 1998 National Psoriasis Foundation patient-membership survey. , 2001, Archives of dermatology.
[73] F. Harrell,et al. Regression modelling strategies for improved prognostic prediction. , 1984, Statistics in medicine.
[74] Abdelhafid Bessaid,et al. Segmentation and ABCD rule extraction for skin tumors classification , 2021, ArXiv.
[75] Aurora Sáez,et al. Model-Based Classification Methods of Global Patterns in Dermoscopic Images , 2014, IEEE Transactions on Medical Imaging.
[76] Dani Ihtatho,et al. Area assessment of psoriasis lesions for PASI scoring , 2009, Journal of medical engineering & technology.
[77] Chun Hui,et al. Computer-Aided Diagnosis for Distinguishing Pancreatic Mucinous Cystic Neoplasms From Serous Oligocystic Adenomas in Spectral CT Images , 2016, Technology in cancer research & treatment.
[78] U Rajendra Acharya,et al. Data mining framework for fatty liver disease classification in ultrasound: A hybrid feature extraction paradigm. , 2012, Medical physics.
[79] Vinod Chandran,et al. Geoepidemiology and environmental factors of psoriasis and psoriatic arthritis. , 2010, Journal of autoimmunity.
[80] M. Emre Celebi,et al. Automated Quantification of Clinically Significant Colors in Dermoscopy Images and Its Application to Skin Lesion Classification , 2014, IEEE Systems Journal.
[81] Robert J G Chalmers,et al. Assessing psoriasis severity and outcomes for clinical trials and routine clinical practice. , 2015, Dermatologic clinics.
[82] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[83] Jin-Shiuh Taur. Neuro-Fuzzy Approach to the Segmentation of Psoriasis Images , 2003, J. VLSI Signal Process..
[84] Chin-Wang Tao,et al. Segmentation of psoriasis vulgaris images using multiresolution-based orthogonal subspace techniques , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[85] David A. Landgrebe,et al. A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..
[86] Christoph Krafft,et al. Identification of Primary Tumors of Brain Metastases by Infrared Spectroscopic Imaging and Linear Discriminant Analysis , 2006, Technology in cancer research & treatment.
[87] Sunil Dogra,et al. Psoriasis in India: prevalence and pattern. , 2010, Indian journal of dermatology, venereology and leprology.