Deep Convolution Network Based Prediction Model For Medical Diagnosis Of Lung Cancer - A Deep Pharmacogenomic Approach : deep diagnosis for lung cancer

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.