Convolutional neural network in the detection of lung carcinoma using transfer learning approach-Reference-Cited by-同舟云学术

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Convolutional neural network in the detection of lung carcinoma using transfer learning approach

Published:2019-12-28 Issue:2 Volume:30 Page:445-454
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Lakshmi D.¹^ORCID,Thanaraj K. Palani²,Arunmozhi M.³

Affiliation:

1. Department of Electronics and Communication EngineeringSt. Joseph's College of Engineering Chennai India

2. Department of Electronics and Instrumentation EngineeringSt. Joseph's College of Engineering Chennai India

3. Department of Information TechnologySt. Joseph's College of Engineering Chennai India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22394

Reference15 articles.

1. Pulmonary Nodule Detection with Low-Dose CT of the Lung: Agreement Among Radiologists

2. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

3. Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT

4. Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs

5. Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

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