Lung Cancer Identification via Deep Learning: A Multi-Stage Workflow
Author:
Affiliation:
1. Politecnico di Milano,Milano,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761482.pdf?arnumber=9761482
Reference18 articles.
1. Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss
2. NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
3. Reproducibility in machine learning for health research: Still a ways to go
4. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
5. The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review
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