Early diagnosis of Lung Cancer with Probability of Malignancy Calculation and Automatic Segmentation of Lung CT scan Images | Zendy

J. Samuel Manoharan | Zendy; Sathish | Zendy

Open Access

Early diagnosis of Lung Cancer with Probability of Malignancy Calculation and Automatic Segmentation of Lung CT scan Images

Author(s) -

J. Samuel Manoharan,

Sathish

Publication year - 2020

Publication title -

journal of innovative image processing

Language(s) - English

Resource type - Journals

ISSN - 2582-4252

DOI - 10.36548/jiip.2020.4.002

Subject(s) - lung cancer , malignancy , segmentation , artificial intelligence , computer science , pattern recognition (psychology) , radiology , computer aided diagnosis , nodule (geology) , classifier (uml) , image segmentation , computed tomography , lung , medicine , pathology , paleontology , biology

Computer aided detection system was developed to identify the pulmonary nodules to diagnose the cancer cells. Main aim of this research enables an automated image analysis and malignancy calculation through data and CPU infrastructure. Our proposed algorithm has improvement filter to enhance the imported images and for nodule selection and neural classifier for false reduction. The proposed model is experimented in both internal and external nodules and the obtained results are shown as response characteristics curves.

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