A novel deep learning framework for lung nodule detection in 3d CT images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11066-w.pdf
Reference61 articles.
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3. Alakwaa W, Nassef M, Badr A (2017) Lung Cancer detection and classification with 3D convolutional neural network (3D-CNN). Int J Adv Comput Sci Appl 8(8). https://doi.org/10.14569/ijacsa.2017.080853
4. Alam M, Sankaranarayanan G, Devarajan V (2016) Lung Nodule Detection and Segmentation Using a Patch-Based Multi-Atlas Method. 2016 International Conference on Computational Science and Computational Intelligence (CSCI). https://doi.org/10.1109/csci.2016.0012.
5. Alilou M, Kovalev V, Snezhko E, Taimouri V (2014) A comprehensive framework for automatic detection of pulmonary nodules in lung ct images. Image Anal Stereol 33(1):13. https://doi.org/10.5566/ias.v33.p13-27
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