Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/322257
Title: BioMedical Image Classification For Cancer Detection By Using Feed Forward Back Propagation Neural Network
Researcher: Pankaj Nanglia
Guide(s): Aprana N Mahajan
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Maharaja Agrasen University
Completed Date: 2020
Abstract: newline Lungs cancer detection using Artificial Intelligence technique is becoming one of the most famous research areas. This is due to increase in the death rate due to lungs cancer. The incidence and humanity rate of lung cancer rank first among various cancers across the world. Once diagnosed, lung cancer often reaches the terminal stage quickly, and thus patients lose the best treatment time. X-ray and CT scanning are often used to screen for early lung cancer patients, but the problems of low sensitivities and specificities exist. Researcher is being done to diagnose cancer with miRNA-21but the sensitivity up to 70-80% is achieved. Soft computing can employ a variety of feature extraction, feature optimization and classification techniques on the biomedical images so as to cure the disease at an early stage. This approach of soft computing is in particular well suited to biomedical applications, those that depend on complex proteomic and genomic measurements.
Pagination: 
URI: http://hdl.handle.net/10603/322257
Appears in Departments:Maharaja Agrasen Institute of Technology



Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: