Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017.

By H. Macmahon, D. Naidich, J. Goo, K. Lee, A. Leung, J. Mayo, A. Mehta, Y. Ohno, Charles A. Powell, Mathias Prokop and 5 more. Radiology, 2017

2,245 citations recorded by the source corpus.

Subfields: Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/c37197020c3e86415f814d66e49de6f11d7cdbf1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. J. Sang
2. Bin Cai
3. Haibo Hu
4. Nasrullah Nasrullah
5. Muhammad Mateen
6. M. Alam

Citations in the corpus

• Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies (2019, methodology): “Jiang Hongyang et al. designed group-based pulmonary nodule detection using multi patches scheme with Frangi filter to boost the performance [20].”
• Early and locally advanced non-small-cell lung cancer (NSCLC): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. (2017, neutral): “Guidelines developed by the British Thoracic Society (BTS) and the Fleischner Society were published recently [27, 28], but like many previous guidelines, have focussed on Western populations.”