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Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping.

S. Tarando, C. Fetita, и P. Brillet. Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 1013407. SPIE, (2017)

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Boosting CNN performance for lung texture classification using connected filtering.S. Tarando, C. Fetita, Y. Kim, H. Cho, и P. Brillet. Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 1057505. SPIE, (2018)Robust lung identification in MSCT via controlled flooding and shape constraints: dealing with anatomical and pathological specificity.C. Fetita, S. Tarando, P. Brillet, и P. Grenier. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 9788 из SPIE Proceedings, стр. 97881A. SPIE, (2016)Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping.S. Tarando, C. Fetita, и P. Brillet. Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 1013407. SPIE, (2017)Image biomarkers for quantitative analysis of idiopathic interstitial pneumonia.Y. Kim, S. Tarando, P. Brillet, и C. Fetita. Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 1095019. SPIE, (2019)Increasing CAD system efficacy for lung texture analysis using a convolutional network.S. Tarando, C. Fetita, A. Faccinetto, и P. Brillet. Medical Imaging: Computer-Aided Diagnosis, том 9785 из SPIE Proceedings, стр. 97850Q. SPIE, (2016)