hope this link is useful
https://www.recogtech.com/en/knowledge.../vein-pattern-recognition
regards
There are many useful things in pattern recognition. First, there is a need for spiritual improvement in the recognition of images from Biblical plots. Secondly, in the recognition of beautiful images when visiting the theater, museums. Third, in the recognition of the images of our ancestors, when tribute is paid to their deeds. Fourthly, in dreams of the future, when images of the future inspire new creations. And this enumeration can be continued.
Pattern recognition can be categorized under a branch of Artificial Intelligence. Data patterns are rigorously studied and grouped into labels. Each label class may be known(supervised) or unkown(unsupervised). Please refer to the book titled Pattern recognition by William Gibson on the subject.
Dear Ajit,
Maybe the following papers will help you:
Young AJ, Smith LH, Rouse EJ, Hargrove LJ. A comparison of the real-time controllability of pattern recognition to conventional myoelectric control for discrete and simultaneous movements. J Neuroeng Rehabil 2014;11:5. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3895741/pdf/1743-0003-11-5.pdf
Phu J, Khuu SK, Nivison-Smith L, Zangerl B, Choi AYJ, Jones BW, Pfeiffer RL, Marc RE, Kalloniatis M. Pattern Recognition Analysis Reveals Unique Contrast Sensitivity Isocontours Using Static Perimetry Thresholds Across the Visual Field. Invest Ophthalmol Vis Sci 2017;58(11):4863-4876. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624776/pdf/i1552-5783-58-11-4863.pdf
Rundo F, Conoci S, Ortis A, Battiato S. An Advanced Bio-Inspired PhotoPlethysmoGraphy (PPG) and ECG Pattern Recognition System for Medical Assessment. Sensors (Basel) 2018;18(2):E405. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855408/pdf/sensors-18-00405.pdf
Zarinabad N, Abernethy LJ, Avula S, Davies NP, Rodriguez Gutierrez D, Jaspan T, et al. Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T 1 H-MR spectroscopy-A multi-center study. Magn Reson Med 2018;79(4):2359-2366. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5850456/pdf/MRM-79-2359.pdf
Best wishes from Germany,
Martin
Dear Ajit,
Here is another very good old article about techniques for using contextual information in pattern recognition:
Toussaint GT. The use of context in pattern recognition. Pattern Recognition 1978;10(3):189-204. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.72.5050&rep=rep1&type=pdf
All the best,
Martin
Positron emission tomography–computed tomography (PET-CT) has been shown to detect unexpected synchronous malignancies in up to 4.8% of patients and has been shown to be more sensitive than conventional staging alone. Detection of an unsuspected synchronous malignancy on PET-CT will often affect both patient treatment and prognosis. This article reviews:
Utility of pattern recognition in the detection of unsuspected additional primary malignancies on positron emission tomography–computed tomography
Erin M. Bowman, MD,📷 Umesh D. Oza, MD, and Hamid R. Latifi, MD
Yes,Dr Afan Pattern recognition is widely used being a branch of AI to unearth fact hidden in large data sets.PR is used as a techniques to Computational Molecular Biology.
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