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Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison.

C. Carvalho, S. Marques, C. Peixoto, D. Pignatelli, J. Beires, J. Silva, и A. Campilho. ICIAR (2), том 11663 из Lecture Notes in Computer Science, стр. 295-306. Springer, (2019)

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Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison.C. Carvalho, S. Marques, C. Peixoto, D. Pignatelli, J. Beires, J. Silva, и A. Campilho. ICIAR (2), том 11663 из Lecture Notes in Computer Science, стр. 295-306. Springer, (2019)A robust anisotropic edge detection method for carotid ultrasound image processing.J. Rouco, C. Carvalho, A. Domingues, E. Azevedo, и A. Campilho. KES, том 126 из Procedia Computer Science, стр. 723-732. Elsevier, (2018)Classification Approach for Measurement of Atherosclerosis Using B-Mode Ultrasound Carotid Images.C. Carvalho, R. Rocha, и A. Campilho. ICIAR, том 7950 из Lecture Notes in Computer Science, стр. 539-546. Springer, (2013)A Multi-dataset Approach for DME Risk Detection in Eye Fundus Images.C. Carvalho, J. Pedrosa, C. Maia, S. Penas, Â. Carneiro, L. Mendonça, A. Mendonça, и A. Campilho. ICIAR (2), том 12132 из Lecture Notes in Computer Science, стр. 285-298. Springer, (2020)End-to-End Ovarian Structures Segmentation.D. Wanderley, C. Carvalho, A. Domingues, C. Peixoto, D. Pignatelli, J. Beires, J. Silva, и A. Campilho. CIARP, том 11401 из Lecture Notes in Computer Science, стр. 681-689. Springer, (2018)3D tendon strain estimation on high-frequency 3D ultrasound images a simulation and phantom study.C. Carvalho, S. Bogaerts, L. Scheys, J. D'hooge, K. Peers, и P. Suetens. ISBI, стр. 172-175. IEEE, (2016)

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