Integrated Clinician Decision Supporting System for Pneumonia and Lung Cancer Detection
Venkata Tulasiramu Ponnada1, S.V.Naga Srinivasu2
1Venkata Tulasiramu Ponnada, Research Scholar, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, (Andhra Pradesh) 522510, India.
2Dr.S.V.Naga Srinivasu, Professor, Computer science and engineering, Narasaraopeta Engineering College, Narasaraopet, (Andhra Pradesh) 522601, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1682-1686 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6568068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Our research work proposes a system “Integrated Clinician Decision Supporting System for Pneumonia and Lung Cancer Detection (ICDSSPLD)” that can detect Pneumonia and Lung cancer. ICDSSPLD uses CT scan images and leverages the convolution neural network (CNN). The integrated system works for both pneumonia and lung cancer and the end user for this system are clinician and or patient. Our research work objectives are as follows. Propose an integrated system for Pneumonia and Lung Cancer Detection; Implement best in class Edge AI system for Pneumonia detection; Implement best in class Edge AI system for Lung Cancer detection; Implement integrated edge AI system for Pneumonia and Lung Cancer Detection.The present work proposes an integrated system for Pneumonia and lung cancer detection i.e., the first research objective.
Keyword: Pneumonia Detection, Lung Cancer Detection, Edge AI System, CNN, deep learning, neural networks.
Scope of the Article: Healthcare Informatics.