贵族
发表于 2025-3-25 05:34:41
Stephen Welcht wall and organs within the pleural sac (lungs, mediastinum, liver). In this paper we propose a methodology that (1) segments one of the images to be registered (the source or floating/moving image) into two distinct regions by fitting a statistical motion mask, and (2) registers the image with a m
内行
发表于 2025-3-25 09:52:30
Stephen Welchapy mandates automatic delineation, as manual delineation is too time consuming while it should be fast and robust. In this study, we propose an accurate and robust automatic propagation of the delineations from the planning CT to the daily CT by means of Deformable Image Registration (DIR). The pro
FEAS
发表于 2025-3-25 12:54:09
Stephen Welcht wall and organs within the pleural sac (lungs, mediastinum, liver). In this paper we propose a methodology that (1) segments one of the images to be registered (the source or floating/moving image) into two distinct regions by fitting a statistical motion mask, and (2) registers the image with a m
Aphorism
发表于 2025-3-25 16:23:39
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fulmination
发表于 2025-3-25 20:19:35
Stephen Welcht wall and organs within the pleural sac (lungs, mediastinum, liver). In this paper we propose a methodology that (1) segments one of the images to be registered (the source or floating/moving image) into two distinct regions by fitting a statistical motion mask, and (2) registers the image with a m
馆长
发表于 2025-3-26 02:01:36
Stephen Welchapy mandates automatic delineation, as manual delineation is too time consuming while it should be fast and robust. In this study, we propose an accurate and robust automatic propagation of the delineations from the planning CT to the daily CT by means of Deformable Image Registration (DIR). The pro
Anecdote
发表于 2025-3-26 05:38:13
Stephen Welchtood. However, some applications such as dynamic imaging or serial sectioning involve the analysis of image sequences and thus require a simultaneous and unbiased comparison of many images..This paper proposes a new similarity measure, that takes a global perspective and involves all images at the s
Intractable
发表于 2025-3-26 11:52:51
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反感
发表于 2025-3-26 16:26:38
Stephen Welched by a classification ensemble consisting of ResNet50 and DenseNet201 to refine detected mitotic candidates. The MIDOG training data consists of 200 frames originating from four scanners, three of which are annotated for mitotic instances with centroid annotations. Our main algorithmic choices are
ingestion
发表于 2025-3-26 17:59:54
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