Details

Title

Comparative analysis of selected classifiers in posterior cruciate ligaments computer aided diagnosis

Journal title

Bulletin of the Polish Academy of Sciences: Technical Sciences

Yearbook

2017

Numer

No 1

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences

Date

2017

Identifier

ISSN 0239-7528, eISSN 2300-1917

References

Voos (2012), Posterior cruciate ligament Anatomy biomechanics and outcomes, Sports Med, 40, 222, doi.org/10.1177/0363546511416316 ; Crespo (2015), Injuries to posterolateral corner of the knee : a comprehensive review from anatomy to surgical treatment Revista Brasileira de Ortopedia, English Edition, 50, 363. ; Alam (2014), Research on particle swarm optimization based clustering : a systematic review of literature and techniques Swarm and Evolutionary, Computation, 17, 1. ; Kawa (2014), Radiological atlas for patient specific model generation in Information Technologies in Biomedicine Advances in Intelligent Systems and, Computing, 284. ; Zarychta (2010), Anterior and posterior cruciate ligament - extraction and visualization in Information Technologies in Biomedicine Advances in Intelligent and Soft, Computing, 69. ; Escalante (2012), et al Acute leukemia classification by ensemble particle swarm model selection, Artif Intell Med, 55, 163, doi.org/10.1016/j.artmed.2012.03.005 ; Badura (2012), fuzzy liver tumor segmentation in Information Technologies in Biomedicine Lecture Notes in, Bioinformatics, 7339. ; Zyout (2015), Multi - scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography Part, Comput Med Imag Grap, 46, 95, doi.org/10.1016/j.compmedimag.2015.02.005 ; Kruse (2012), Rehabilitation after anterior cruciate ligament reconstruction, Bone Joint Surg Am, 94, 1737, doi.org/10.2106/JBJS.K.01246 ; Czuppon (2014), Variables associated with return to sport following anterior cruciate ligament reconstruction : a systematic review, Sport Med, 48, 356. ; Hensler (2012), Eck Anatomic anterior cruciate ligament reconstruction utilizing the doublebundle technique, Orthop Sport Phys, 42, 184, doi.org/10.2519/jospt.2012.3783 ; Zarychta (2016), The importance of the features of the posteriori cruciate ligament in diagnosis in Information Technologies in Medicine Advances in Intelligent Systems and, Computing, 471. ; Alcala (2014), Imaging of posterior cruciate ligament reconstruction : normal postsurgical appearance and complications, Skeletal Radiol, 43, 1659, doi.org/10.1007/s00256-014-1975-6 ; Jang (1993), ANFIS : adaptive - network - based fuzzy inference system, IEEE Syst Man Cyb, 23, 665, doi.org/10.1109/21.256541 ; Zarychta (2007), Posterior cruciate ligament - visualization in Conference on Computer Recognition Systems Advances in Intelligent and Soft, Computing, 45, 695. ; Dziak (2001), Injuries of the cruciate ligaments of the knee joint in Polish, Acta Clinica, 4, 271. ; Wright (2012), Outcome of revision anterior cruciate ligament reconstruction : a systematic review, Bone Joint Surg Am, 94, 531, doi.org/10.2106/JBJS.K.00733 ; Fisher (1936), The use of multiple measurements in taxonomic problems of, Annals Eugenics, 7, 179, doi.org/10.1111/j.1469-1809.1936.tb02137.x ; Takagi (1985), Fuzzy identification of systems and its applications to modeling and control, IEEE Syst Man Cyb, 15, 116, doi.org/10.1109/TSMC.1985.6313399 ; Wieclawek (2015), Watershed based intelligent scissors, Comput Med Imag Grap, 43, 122, doi.org/10.1016/j.compmedimag.2015.01.003 ; Arlot (2010), A survey of cross - validation procedures for model selection, Statistics Surveys, 4, 40, doi.org/10.1214/09-SS054 ; Oliveira (2009), Applying particle swarm optimization algorithm for tuning a neuro - fuzzy inference system for sensor monitoring, Prog Nucl Energ, 51, 177, doi.org/10.1016/j.pnucene.2008.03.007 ; Kennedy (1995), Particle swarm optimization in International Conference on Neural Networks, Proc IEEE, 1942. ; Zarychta (2015), Features extraction in anterior and posterior cruciate ligaments analysis Part, Comput Med Imag Grap, 46, 108, doi.org/10.1016/j.compmedimag.2015.03.001 ; Galinska (2016), Swarm intelligence approach to medical image segmentation in Information Technologies in Medicine Advances in Intelligent Systems and, Computing, 471. ; Cavanaugh (2015), Postoperative rehabilitation after posterior cruciate ligament reconstruction and combined posterior cruciate ligament reconstruction - posterior lateral corner surgery, Oper Techn Sport Med, 23, 372, doi.org/10.1053/j.otsm.2015.08.003 ; Glasgow (2014), Simplicity : the ultimate sophistication, Sport Med, 48, 345. ; Pasierbinski (2001), Biobiomechanics of the cruciate ligament in Polish, Acta Clinica, 4, 284. ; Cortes (1995), Support - vector networks, Mach Learn, 20, 273, doi.org/10.1007/BF00994018 ; Zarychta (2014), Cruciate ligaments of the knee joint in the computer analysis in Information Technologies in Biomedicine Advances in Intelligent Systems and, Computing, 283.

DOI

10.1515/bpasts-2017-0008

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