CLASSIFICATION TECHNIQUE FOR DRUG DISCOVERY IN MEDICAL IMAGE PROCESSING

neha tandon, Pankaj Bhambri

Abstract


A complex structure that focuses on the analysis of variety of levels in regular manner is known as the ontology process. There has been an involvement in the programmed learning methods for constructing the ontology which is completely a level-based method. There are different strategies included for various levels. There are all these levels that are defined at various levels. For the purpose of mapping the two base classes, the object properties are utilized. In this work, technique is been proposed which is based on the neural networks which will mark the area for which the drug need to be discovered. The proposed technique is implemented in MATLAB and it is been analyzed that accuracy is increased and execution time is reduced.

Keywords


A complex structure that focuses on the analysis of variety of levels in regular manner is known as the ontology process.

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References


Buneman P., “Mathematics in the Archaelogical and Historical Sciences”, 1971, F Hodson Edinburgh Univ Press, Edinburgh, UK, pp 387–395.

Gascuel O, Steel M, “Neighbor-joining revealed”, 2006, Mol Biol Evol 23:1997–2000.

Aitken AC, “On least squares and linear combinations of observations”, 1935, Proc R Soc Edinburgh A 55:42–48

Vinh S, von Haeseler, “A Shortest triplet clustering: Reconstructing large phylogenies using representative sets”, 2005, BMC Bioinf 6:92

Jukes T, Cantor C, “Mammalian Protein Metabolism”, 1969, H Munro (Academic, Waltham, MA), pp 21–132.

Beyer W, Stein M, Smith T, Ulam S, “A molecular sequence metric and evolutionary trees”, 1974, Math Biosci 19:9–25

Atteson K, “The performance of neighbor-joining methods of phylogenetic reconstruction”, 1999, Algorithmica 25:251–278

Susko E, Inagaki Y, Roger A, “On inconsistency of the neighbor-joining, least squares, and minimum evolution estimation when substitution processes are incorrectly modeled”, 2004, Mol Biol Evol 21:1629–1642

Vatanjeet Singh, Aman Nag, Ekambir Sidhu,” High Gain Ultra Wide Band (UWB) Multi Resonant Antenna for Biomedical Applications, Security Purposes and Drug Detection”, 2016, IEEE, 978-1-4673-9338-6

Nima Aliakbarinodehi, Giovanni De Micheli, Sandro Carrara,” Optimized Electrochemical Detection of Anti-Cancer Drug by Carbon Nanotubes or Gold Nanoparticles”, 2015, IEEE, 978-1-4799-8229-5

Patricia Vazquez, Conor O’Mahony, Joseph O’Brien, Grégoire Herzog,” Microneedle sensor for voltammetric drug detection in physiological fluids”, 2014, IEEE, 978-1-4799-0162-3

Pedro R. Gomes, C. S. Lima, Filomena O. Soares, J. H. Correia,” Automatic Continuous ECG Monitoring System for Over-drug Detection in Brugada Syndrome”, 2011, IEEE, 978-1-4244-4122-8

Daniela De Venuto, Sandro Carrara, Andrea Cavallini, Giovanni De Micheli,” pH Sensing with Temperature Compensation in a Molecular Biosensor for Drugs Detection”, 2011, IEEE, 978-1-61284-914-0

S. Sara Ghoreishizadeh, Camilla Baj-Rossi, Sandro Carrara, Giovanni De Micheli”, Nano-Sensor and Circuit Design for Anti-Cancer Drug Detection”, 2011, IEEE, 978-1-4577-0422-2




DOI: https://doi.org/10.26483/ijarcs.v8i7.4181

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