A Deep Learning Approach to Improve Pulmonary Cancer Diagnosis Using CNN
Author:
Affiliation:
1. Mepco Schlenk Engineering College,Department of Computer Science and Engineering,Virudhnagar,India
2. Kalasalingam Academy of Research and Education, Krishnankoil,Department of Computer Science and Engineering,Virudhunagar,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10527409/10527410/10527514.pdf?arnumber=10527514
Reference20 articles.
1. Added Value of Computer-aided CT Image Features for Early Lung Cancer Diagnosis with Small Pulmonary Nodules: A Matched Case-Control Study
2. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
3. Fully Convolutional Architectures for Multiclass Segmentation in Chest Radiographs
4. Workload of Radiologists in United States in 2006–2007 and Trends Since 1991–1992
5. Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model
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