Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey

Author:

Mastouri Rekka1,Khlifa Nawres1,Neji Henda23,Hantous-Zannad Saoussen23

Affiliation:

1. University of Tunis el Manar, Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies, 1006 Tunis, Tunisia

2. University of Tunis el Manar, Faculty of Medicine of Tunis, 1007 Tunis, Tunisia

3. Department of Medical Imaging, Abderrahmen Mami Hospital, 2035 Ariana, Tunisia

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Reference55 articles.

1. Computed tomography and the secrets of lung nodules;Mayo;Canadian Association of Radiologists Journal,2015

2. Hybrid-feature-guided lung nodule type classification on CT images;Yuan;Computers & Graphics,2018

3. An appraisal of nodules detection techniques for lung cancer in CT images;Rehman;Biomedical Signal Processing and Control

4. An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images;Wang;Sensors,2019

5. The utilisation of convolutional neural networks in detecting pulmonary nodules: a review;Murphy;The British Journal of Radiology,2018

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