Open AccessClassification of Malignant Melanoma and Benign Lung Cancer by using Deep Learning Based Neural Network
Author(s) -
S. Santhi,
R. Adaline Suji,
E. Udayakumar
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1704.019320
Subject(s) - lung cancer , artificial intelligence , convolutional neural network , melanoma , computer science , feature extraction , deep learning , cancer , feature (linguistics) , artificial neural network , preprocessor , pattern recognition (psychology) , categorization , segmentation , medicine , pathology , cancer research , linguistics , philosophy
Humanoid Tumor is one of the utmost hazardous syndromes which is mostly affected by heritable uncertainty of manifold molecular modifications. Midst numerous methods of humanoid tumor, Lung cancer is the utmost communal one. To classify Lung cancer at an initial phase and examine them over several procedures entitled as segmentation and feature extraction. Here, in this scheme is suggested to emphasis extraordinary attentiveness of Melanoma Heir which bases the Lung Cancer. This development is based on samples replica skill is used for malignant melanoma Lung tumor recognition. In this scheme dissimilar stage for melanoma Lung cancer lesion classification i.e., first the Image Gaining Method, preprocessing, separation, define piece for Lung cancer Feature Collection regulates lesion description, classification methods. In the Feature abstraction by numerical image treating method includes, regularity detection, Border Detection, color, and width discovery and also we used GLCM for excerpt the surface based features. Here we planned the Neural Network to categorize the benign or malignant stage.