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Deep Convolution Network Based Prediction Model for Medical Diagnosis of Lung Cancer – A Deep Pharmacogenomic Approach : Deep diagnosis for lung cancer

Publication Type : Conference Paper

Thematic Areas : Learning-Technologies

Publisher : Proceedings of 2018 2nd International Conference on Advances in Electronics, Computers and Communications, ICAECC 2018, Institute of Electrical and Electronics Engineers .

Source : Proceedings of 2018 2nd International Conference on Advances in Electronics, Computers and Communications, ICAECC 2018, Institute of Electrical and Electronics Engineers Inc. (2018)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056170933&doi=10.1109%2fICAECC.2018.8479499&partnerID=40&md5=ddb8f84ee98cf5a53ecbd2cf38d2eb02

ISBN : 9781538637852

Keywords : Biological organs, Computer aided instruction, Convolution, Deep learning, Diagnosis, Diagnosis of lung cancer, Diseases, Extract informations, Forecasting, Learning environments, lung cancer, Network-based, Pathological images, pharmacogenomics, Prediction model.

Campus : Amritapuri

School : School of Engineering

Center : Amrita Center For Research in Analytics, AmritaCREATE

Department : Computer Science and Engineering

Year : 2018

Abstract : The recently introduced deep learning environment has been used in post pharmacogenomic predictions on proneness to lung cancer. The well-established pre-trained model, VGG19 has been used to extract information from the pathological images specific to PTEN, EGFR, ERBB2, BRAF and CDKN2A for Lung cancer. The model finds to be suitable for the prediction of these mutations, specific to Indian populations. A model consisting of testing of specific genetic signatures and the deep convolution network based image classification has been suggested as an ingenious technique for the fast, cheap and effective predictions on mutations of lung cancer among Indian populations. © 2018 IEEE.

Cite this Research Publication : A. Iyer, Vyshnavi, H. A. M., and Namboori, P. K., “Deep Convolution Network Based Prediction Model for Medical Diagnosis of Lung Cancer - A Deep Pharmacogenomic Approach : Deep diagnosis for lung cancer”, in Proceedings of 2018 2nd International Conference on Advances in Electronics, Computers and Communications, ICAECC 2018, 2018.

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