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A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images.

, , , , и . ICIAR, том 10317 из Lecture Notes in Computer Science, стр. 507-515. Springer, (2017)

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Central Medialness Adaptive Strategy for 3D Lung Nodule Segmentation in Thoracic CT Images., , и . ICIAR, том 9730 из Lecture Notes in Computer Science, стр. 583-590. Springer, (2016)A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images., , , , и . ICIAR, том 10317 из Lecture Notes in Computer Science, стр. 507-515. Springer, (2017)LNDb challenge on automatic lung cancer patient management., , , , , , , , , и 16 other автор(ы). Medical Image Anal., (2021)LNDb: A Lung Nodule Database on Computed Tomography., , , , , , , , , и 1 other автор(ы). CoRR, (2019)Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison., , , , , , и . ICIAR (2), том 11663 из Lecture Notes in Computer Science, стр. 295-306. Springer, (2019)A No-Reference Quality Metric for Retinal Vessel Tree Segmentation., , , , , и . MICCAI (1), том 11070 из Lecture Notes in Computer Science, стр. 82-90. Springer, (2018)Machine learning for medical applications., , , и . ESANN, (2016)Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth., , , и . ISBI, стр. 1202-1206. IEEE, (2019)A robust anisotropic edge detection method for carotid ultrasound image processing., , , , и . KES, том 126 из Procedia Computer Science, стр. 723-732. Elsevier, (2018)CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting., , , , , , , , , и 79 other автор(ы). CoRR, (2023)