This system allows for the detection of pulmonary nodes, particularly of the subtle or sub-solid types, the caracterization of interstitial diseases and for the creation of consultation and interrogation medical image systems, resorting to visual data contained in pulmonary pathology images.
Articles in Journals
Gonçalves, J. Novo, A. Campilho, Hessian based approaches for 3D lung nodule segmentation, Expert Systems with Applications, May 2016 (online). Doi: 10.1016/j.eswa.2016.05.024.
José Ramos, Thessa T. J. P. Kockelkorn, Isabel Ramos, Rui Ramos, Jan Grutters, Bram van Ginneken, Max A. Viergever, and Aurélio Campilho, Content Based Image Retrieval by Metric Learning from Radiology Reports: Application to Interstitial Lung Diseases, IEEE Journal of Biomedical and Health Informatics vol. 20, pp. 281-292, 2016.
José Ricardo Ramos, Thessa Kockelkorn, Isabel Ramos, Rui Ramos, Jan Grutters, Bram van Ginneken, Max Viergever, Aurélio Campilho, Content Based Image Retrieval by Metric Learning from Radiology Reports: Application to Interstitial Lung Diseases, IEEE J-BHI – IEEE Journal of Biomedical and Health Informatics, 2014
Articles in Conference Proceedings
Guilherme Aresta, António Cunha and Aurélio Campilho, Detection of juxta-pleural lung nodules in computed tomography images, SPIE Medical Imaging, Orlando, USA, (accepted).
Luis Gonçalves, Jorge Novo, and Aurélio Campilho, Central Medialness Adaptive Strategy for 3D Lung Nodule Segmentation in Thoracic CT Images, Image Analysis and Recognition, Lecture Notes in Computer Science 2016, LNCS 9730, pp. 583-590, 2016.
Gonçalves, J. Novo, A. Campilho, Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images, 253-258, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Proceedings, 2016.
Jorge Novo, Luis Gonçalves, Ana Maria Mendonça, Aurélio Campilho, 3D Lung Nodule Candidates Detection in Multiple Scales, IAPR MVA 2015, International Conference on Machine Vision Applications, 61-64, 2015
Novo, J. Rouco, A. Mendonça, Aurélio Campilho, Reliable Lung Segmentation Methodology by Including Juxtapleural Nodules, Image Analysis and Recognition, Lecture Notes in Computer Science 2014, LNCS 8815, pp 227-235, 2014.
Daniela Campos, André Simões, Isabel Ramos, Aurélio Campilho, Feature-Based Supervised Lung Nodule Segmentation, vol.42, pp.23-26, 2014
Jorge Novo Buján, José Rouco Maseda, Ana Maria Mendonça, Aurélio Campilho, Reliable Lung Segmentation Methodology by Including Juxtapleural Nodules, ICIAR 2014 – International Conference on Image Analysis and Recognition, vol.8815, pp.227-235, Vilamoura, Portugal, 2014
Short Papers and Abstracts
Gonçalves, J. Novo, A. Campilho, Automatic Lung Nodule Classification in Chest Computerized Tomography Images, Bioimaging 2015, pp 52-53, 2015 (poster).
L. Gonçalves, J. Novo, and A. Campilho, Computer Aided Diagnostic for the Classification of Lung Nodules, EMBC 2015, Engineering in Medicine and Biology Conference, Milan, Italy, August 25-29, 2015.