MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection

Author:

Usman MuhammadORCID,Rehman AzkaORCID,Shahid AbdullahORCID,Latif SiddiqueORCID,Shin Yeong-Gil

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference56 articles.

1. Adriana, R., Nicolas, B., Ebrahimi, K.S., Antoine, C., Carlo, G., Yoshua, B., 2015. Fitnets: Hints for thin deep nets. In: Proc. ICLR, Vol. 2.

2. Stochastic watershed segmentation;Angulo,2007

3. The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans;Armato;Med. Phys.,2011

4. Prediction of risk of lung cancer in populations and in pulmonary nodules: significant progress to drive changes in paradigms;Baldwin,2015

5. Area under the free-response ROC curve (FROC) and a related summary index;Bandos;Biometrics,2009

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