• Ms.Rohini Omprakash Munde
• Prof.V.S.Bhatlavande

Gastric cancer is severe stomach disease that causes millions of death every year. Therefore, it is necessary to early detect the phases of the gastric cancer so that proper measure can be taken to cure it. This paper presents the deep learning based approach for the early detection of the gastric cancer using endoscopic images. Convolutional neural network (CNN) is used as the deep learning architecture for the feature representation and K-Nearest neighbor (KNN) classifier is used for the classification purpose. The performance is assessed based on the percentage accuracy and it is found that increasing the CNN layers increases the recognition accuracy.

Deep learning, Gastric cancer, Convolution neural network.

"Gastric Cancer Detection using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.647-651, August-2020, Available :http://www.jetir.org/papers/JETIR2008082.pdf

"Gastric Cancer Detection using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp647-651, August-2020, Available at : http://www.jetir.org/papers/JETIR2008082.pdf