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Adversarial learning with multi-scale loss for skin lesion segmentation., , и . ISBI, стр. 859-863. IEEE, (2018)Adjustable adaboost classifier and pyramid features for image-based cervical cancer diagnosis., , и . ISBI, стр. 281-285. IEEE, (2015)Interactive Polygons in Region-Based Deformable Contours for Medical Images., , , и . ISBI, стр. 37-40. IEEE, (2009)Neural User Factor Adaptation for Text Classification: Learning to Generalize Across Author Demographics., и . *SEM@NAACL-HLT, стр. 136-146. Association for Computational Linguistics, (2019)SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation., , , , и . CoRR, (2017)A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis., , , , , и . MICCAI (8), том 12908 из Lecture Notes in Computer Science, стр. 613-623. Springer, (2021)Establishing Local Correspondences towards Compact Representations of Anatomical Structures., , и . MICCAI (2), том 2879 из Lecture Notes in Computer Science, стр. 926-934. Springer, (2003)Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models., , , и . MICCAI (1), том 6361 из Lecture Notes in Computer Science, стр. 86-94. Springer, (2010)Hybrid Deformable Models for Medical Segmentation and Registration., , , , , и . ICARCV, стр. 1-6. IEEE, (2006)Left endocardium segmentation using spatio-temporal Metamorphs., , , , , и . ISBI, стр. 226-229. IEEE, (2012)