Results 41 to 50 of about 1,357,046 (311)
Forests play a key role in terrestrial ecosystems, and the variables extracted from single trees can be used in various fields and applications for evaluating forest production and assessing forest ecosystem services.
Wanqian Yan +5 more
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Segmentation is the serial repetition of similar organs, tissues, cell types or body cavities along the anterior-posterior (A-P) axis of bilaterally symmetric animals (bilaterians). You, like other vertebrates, are segmented — consider the skeleton, musculature and nervous system of your trunk.
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Plant polyphenols are a class of plant secondary metabolites containing several phenolic hydroxyl groups in their molecular structure, which have physiological properties such as anti-inflammatory, anticancer, antibacterial, etc., and can be used as ...
Nan WANG +6 more
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Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow
Semantic segmentation neural networks require pixel-level annotations in large quantities to achieve a good performance. In the medical domain, such annotations are expensive because they are time-consuming and require expert knowledge.
Grzegorz Chlebus +4 more
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Pseudo Mask Augmented Object Detection
In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation.
Liang, Shuang +2 more
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Flaxseed polyphenols exhibited antibacterial and antioxidant properties; however, their poor solubility and stability limited their application in food products. Incorporation into nano-emulsions improved their dissolution and encapsulation.
Yan Ma +9 more
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SegSort: Segmentation by Discriminative Sorting of Segments [PDF]
In ICCV 2019.
Xiao Zhang +6 more
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MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
In this work, we tackle the problem of instance segmentation, the task of simultaneously solving object detection and semantic segmentation. Towards this goal, we present a model, called MaskLab, which produces three outputs: box detection, semantic ...
Adam, Hartwig +5 more
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IntroductionIntracranial 4D flow MRI enables quantitative assessment of hemodynamics in patients with intracranial atherosclerotic disease (ICAD). However, quantitative assessments are still challenging due to the time-consuming vessel segmentation ...
Patrick Winter +18 more
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Employing the local radon transform for melanoma segmentation in dermoscopic images
In recent years, the number of patients suffering from melanoma, as the deadliest type of skin cancer, has grown significantly in the world. The most common technique to observe and diagnosis of such cancer is the use of noninvasive dermoscope lens ...
Alireza Amoabedini +3 more
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