ADJ
发表于 2025-3-23 11:36:45
Johan Arvidsson,Thomas Kellerles with decoupled illumination and detection paths. Although the selective excitation scheme of such a microscope provides intrinsic optical sectioning that minimizes out-of-focus fluorescence background and sample photodamage, it is prone to light absorption and scattering effects, which results i
commonsense
发表于 2025-3-23 16:12:31
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aggressor
发表于 2025-3-23 21:45:36
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hypotension
发表于 2025-3-24 02:03:09
Thomas Keller,Johan Arvidsson rates and timely treatment of colon cancer at an early stage. Even though there are deep learning methods developed for this task, variability in polyp size can impact model training, thereby limiting it to the size attribute of the majority of samples in the training dataset that may provide sub-o
Jacket
发表于 2025-3-24 02:57:22
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Forehead-Lift
发表于 2025-3-24 07:26:35
S. Fountas,T. A. Gemtos,S. Blackmoremask annotations, existing polyp segmentation methods suffer from severe data shortage and impaired model generalization. Reversely, coarse polyp bounding box annotations are more accessible. Thus, in this paper, we propose a boosted . model to make full use of both accurate mask and extra coarse bo
Chronological
发表于 2025-3-24 11:06:26
Dirk Ansorge,Richard John Godwindal (CC) and mediolateral-oblique (MLO) views. These multiple related images provide complementary diagnostic information and can improve the radiologist’s classification accuracy. Unfortunately, most existing deep learning systems, trained with globally-labelled images, lack the ability to jointly
真
发表于 2025-3-24 15:21:19
Rupert Geischeder,Markus Demmel,Robert Brandhuberrapy implementation. Because of time and machine constraints, it involves imaging of different modalities, resolutions and dimensions, along with severe out-of-plane deformations to handle. In this paper, we introduce MSV-RegSyn-Net, a novel, scalable, deep learning-based framework for concurrent sl
Nibble
发表于 2025-3-24 22:34:36
G. D. Vermeulen,J. N. Tullberg,W. C. T. Chamennnotations is crucial for unbiased comparisons because registration algorithms are trained and tested using these landmarks. Even though some data providers claim to have mitigated the inter-observer variability by having multiple raters, quality control such as a third-party screening can still be
滋养
发表于 2025-3-25 01:37:16
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