Arnaud Arindra Adiyoso Setio

Arnaud Arindra Adiyoso Setio

Research - Deep Learning - Medical Image Analysis

Development of lung nodule detection algorithms in chest CT

Lung cancer is the leading cause of cancer death worldwide. Currently, only 15% of all diagnosed lung cancers are detected at an early stage, which causes a five-year survival rate of only 16%. The aim of this project is to automatically detect cancers in an earlier stage when curative treatment options are better.

Within this project, novel Computer-Aided Detection (CAD) systems for pulmonary nodules were developed and evaluated. The results were presented through a number of publications listed below and summarized in my PhD Thesis.

Publications

  1. A.A.A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M.W. Wille, M. Naqibullah, C. Sánchez and B. van Ginneken. ”Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks”, IEEE Transactions on Medical Imaging, 35(5):1160-1169, 2016.
  2. A.A.A. Setio, C. Jacobs, J. Gelderblom and B. van Ginneken. ”Automatic detection of large pulmonary solid nodules in thoracic CT images”, Medical Physics, 42:5642-5653, 2015.