Citations (32)
Keep up to date with the latest research on this topic with citation updates for this article.
Articles from other publishers (32)
Sonali Sawant, Vibha Vyas, Shilpa Sawant & Sunil Tade. (2023) Thermal Image Enhancement Techniques Using Histograms for Better Visualization of the Larynx and Vocal Folds. Thermal Image Enhancement Techniques Using Histograms for Better Visualization of the Larynx and Vocal Folds.
David J. Wellenstein, Jonathan Woodburn, Henri A. M. Marres & Guido B. van den Broek. (2023) Detection of laryngeal carcinoma during endoscopy using artificial intelligence. Head & Neck 45:9, pages 2217-2226.
Crossref
Crossref
Bich Anh Tran, Thao Thi Phuong Dao, Ho Dang Quy Dung, Ngoc Boi Van, Chanh Cong Ha, Nam Hoang Pham, Tu Cong Huyen Ton Nu Cam Nguyen, Tan-Cong Nguyen, Minh-Khoi Pham, Mai-Khiem Tran, Truong Minh Tran & Minh-Triet Tran. (2023) Support of deep learning to classify vocal fold images in flexible laryngoscopy. American Journal of Otolaryngology 44:3, pages 103800.
Crossref
Crossref
Abdul-Latif Hamdan, Robert Thayer Sataloff & Mary J. HawkshawWissam Sammouri, Abdul-Latif Hamdan, Robert Thayer Sataloff & Mary J. Hawkshaw. 2022. Traits of Civilization and Voice Disorders. Traits of Civilization and Voice Disorders
161
179
.
Lukas Wittig, Christian Betz & Dennis Eggert. (2020) Optical coherence tomography for tissue classification of the larynx in an outpatient setting‐a translational challenge on the verge of a resolution?. Translational Biophotonics 3:1.
Crossref
Crossref
Jianjun Ren, Xueping Jing, Jing Wang, Xue Ren, Yang Xu, Qiuyun Yang, Lanzhi Ma, Yi Sun, Wei Xu, Ning Yang, Jian Zou, Yongbo Zheng, Min Chen, Weigang Gan, Ting Xiang, Junnan An, Ruiqing Liu, Cao Lv, Ken Lin, Xianfeng Zheng, Fan Lou, Yufang Rao, Hui Yang, Kai Liu, Geoffrey Liu, Tao Lu, Xiujuan Zheng & Yu Zhao. (2020) Automatic Recognition of Laryngoscopic Images Using a Deep‐Learning Technique. The Laryngoscope 130:11.
Crossref
Crossref
Chung-Feng Jeffrey Kuo, Yu-Ching Li, Wei-Han Weng, Kathya Belen Pinos Leon & Yueng-Hsiang Chu. (2020) Applied image processing techniques in video laryngoscope for occult tumor detection. Biomedical Signal Processing and Control 55, pages 101633.
Crossref
Crossref
Luis Souza, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Joao Paulo Papa, Robert Mendel & Christoph Palm. (2018) Barrett's Esophagus Identification Using Color Co-Occurrence Matrices. Barrett's Esophagus Identification Using Color Co-Occurrence Matrices.
Seba Susan & Madasu Hanmandlu. (2017) Color texture recognition by color information fusion using the non-extensive entropy. Multidimensional Systems and Signal Processing 29:4, pages 1269-1284.
Crossref
Crossref
TURAB SELÇUK, Nagihan Bilal, Selman Sarıca, Batuhan AKBEN & Ahmet ALKAN. (2017) Automatic Determination of the Morphometric Properties of Nodules in the Vocal Cord by Image Processing Techniques. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 20:4, pages 54-59.
Crossref
Crossref
H. Irem Turkmen, M. Elif Karsligil & Ismail Kocak. (2015) Classification of laryngeal disorders based on shape and vascular defects of vocal folds. Computers in Biology and Medicine 62, pages 76-85.
Crossref
Crossref
Ioannis Constantinou, Marios Neofytou, Vasilis Tanos, Marios Pattichis, Christodoulos Christodoulou & Constantinos Pattichis. (2013) A comparison of color correction algorithms for endoscopic cameras. A comparison of color correction algorithms for endoscopic cameras.
Chan Il Song, Chang Hwan Ryu, Seung‐Ho Choi, Jong‐Lyel Roh, Soon Yuhl Nam & Sang Yoon Kim. (2013) Quantitative evaluation of vocal‐fold mucosal irregularities using GLCM‐based texture analysis. The Laryngoscope 123:11.
Crossref
Crossref
S. Neuhauser & J. Handler. (2013) Colour analysis of the equine endometrium: Comparison of spectrophotometry and computer-assisted analysis of photographs within the L*a*b* colour space system. The Veterinary Journal 197:3, pages 753-760.
Crossref
Crossref
Antanas Verikas, Marija Bacauskiene, Adas Gelzinis, Evaldas Vaiciukynas & Virgilijus Uloza. (2012) Questionnaire- versus voice-based screening for laryngeal disorders. Expert Systems with Applications 39:6, pages 6254-6262.
Crossref
Crossref
Sheng-Fuu Lin, Hsien-Tse Chen & Tung-Lung Tsai. (2012) AUTOMATIC IDENTIFYING LARYNGOPHARYNGEAL REFLUX USING ARTIFICIAL NEURAL NETWORK. Biomedical Engineering: Applications, Basis and Communications 24:01, pages 47-56.
Crossref
Crossref
Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Magnus Hållander, Virgilijus Uloza & Marius Kaseta. (2010) Combining image, voice, and the patient’s questionnaire data to categorize laryngeal disorders. Artificial Intelligence in Medicine 49:1, pages 43-50.
Crossref
Crossref
A. Verikas, A. Gelzinis, M. Bacauskiene & V. Uloza. (2010) Towards noninvasive screening for malignant tumours in human larynx. Medical Engineering & Physics 32:1, pages 83-89.
Crossref
Crossref
Antanas Verikas, Virgilijus Uloza, Marija Bacauskiene, Adas Gelzinis & Edgaras Kelertas. (2009) Advances in laryngeal imaging. European Archives of Oto-Rhino-Laryngology 266:10, pages 1509-1520.
Crossref
Crossref
C. Munzenmayer, C. Winter, S. Rupp, A. Kage & T. Wittenberg. (2009) Texture-based computer-assisted diagnosis for fiberscopic images. Texture-based computer-assisted diagnosis for fiberscopic images.
A. Verikas, A. Gelzinis, M. Bacauskiene, V. Uloza & M. Kaseta. (2009) Using the patient's questionnaire data to screen laryngeal disorders. Computers in Biology and Medicine 39:2, pages 148-155.
Crossref
Crossref
Liana Stanescu, Dumitru Dan Burdescu & Marius Brezovan. 2009. Biomedical Data and Applications. Biomedical Data and Applications
71
141
.
Marios Neofytou, A. Loizou, V. Tanos, M. S. Pattichis & C. S. Pattichis. 2009. 4th European Conference of the International Federation for Medical and Biological Engineering. 4th European Conference of the International Federation for Medical and Biological Engineering
918
922
.
M. S. Neofytou, V. Tanos, M. S. Pattichis, E. C. Kyriacou, C. S. Pattichis & C. N. Schizas. (2008) Color multiscale texture classification of hysteroscopy images of the endometrium. Color multiscale texture classification of hysteroscopy images of the endometrium.
Andreas Kage, Christian Münzenmayer & Thomas Wittenberg. 2008. Bildverarbeitung für die Medizin 2008. Bildverarbeitung für die Medizin 2008
272
276
.
M. S. Neofytou, V. Tanos, M. S. Pattichis, C. S. Pattichis, E. C. Kyriacou & S. Pavlopoulos. (2007) Color Based Texture - Classification of Hysteroscopy Images of the Endometrium. Color Based Texture - Classification of Hysteroscopy Images of the Endometrium.
A. Verikas, A. Gelzinis, D. Valincius, M. Bacauskiene & V. Uloza. (2007) Multiple feature sets based categorization of laryngeal images. Computer Methods and Programs in Biomedicine 85:3, pages 257-266.
Crossref
Crossref
ANTANAS VERIKAS, ADAS GELZINIS, MARIJA BACAUSKIENE & VIRGILIJUS ULOZA. (2012) INTEGRATING GLOBAL AND LOCAL ANALYSIS OF COLOR, TEXTURE AND GEOMETRICAL INFORMATION FOR CATEGORIZING LARYNGEAL IMAGES. International Journal of Pattern Recognition and Artificial Intelligence 20:08, pages 1187-1205.
Crossref
Crossref
A. Verikas, A. Gelzinis, M. Bacauskiene & V. Uloza. (2006) Towards a computer-aided diagnosis system for vocal cord diseases. Artificial Intelligence in Medicine 36:1, pages 71-84.
Crossref
Crossref
Antanas Verikas, Adas Gelzinis, Marija Bacauskiene & Virgilijus Uloza. 2005. Innovations in Applied Artificial Intelligence. Innovations in Applied Artificial Intelligence
69
78
.
Yolanda D Heman-Ackah. (2004) Diagnostic tools in laryngology. Current Opinion in Otolaryngology & Head and Neck Surgery 12:6, pages 549-552.
Crossref
Crossref
Christoph Palm. (2004) Color texture classification by integrative Co-occurrence matrices. Pattern Recognition 37:5, pages 965-976.
Crossref
Crossref