Paper Title :Lung Cancer Detection Using Deep Transfer Learning

Author :R.P. Narmadha, Abinaya.P, Adharshini.G, Sivagama Sundari.M

Article Citation :R.P. Narmadha ,Abinaya.P ,Adharshini.G ,Sivagama Sundari.M , (2023 ) " Lung Cancer Detection Using Deep Transfer Learning " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 99-103, Volume-11,Issue-4

Abstract : Abstract - One of the cancers that claims the most lives globally is lung cancer. For a patient to recover, early detection and treatment are essential. Histopathological pictures of biopsied tissue from potentially diseased regions of the lungs are used by medical practitioners to make diagnoses. On the other hand, pathologists are overworked, which affects how much time they spend with each patient, how quickly they can make a diagnosis, and how much it costs to complete a case. In this research, we design, implement, and evaluate an ANN algorithm-based diagnostic valuable resource device for non-small cell lung cancer detection. A report module built using Deep Learning methods is included and provides the pathologist with details on the parts of the image that were utilized to categorise the sample and the degree of confidence in each class. Keywords - Deep Learning, ANN Algorithm, Histopathological Pictures

Type : Research paper

Published : Volume-11,Issue-4

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