Results 21 to 30 of about 479,142 (270)
Liftoff: accurate mapping of gene annotations
Bioinform., 2020 MOTIVATION Improvements in DNA sequencing technology and computational methods have led to a substantial increase in the creation of high-quality genome assemblies of many species.
Alaina Shumate, S. Salzberg
semanticscholar +1 more source
Mobile DNA, 2020 Dfam is an open access database of repetitive DNA families, sequence models, and genome annotations. The 3.0–3.3 releases of Dfam (https://dfam.org) represent an evolution from a proof-of-principle collection of transposable element families in model ...
Jessica M. Storer +4 more
semanticscholar +1 more source
Weakly-Supervised Salient Object Detection via Scribble Annotations [PDF]
Computer Vision and Pattern Recognition, 2020 Compared with laborious pixel-wise dense labeling, it is much easier to label data by scribbles, which only costs 1~2 seconds to label one image. However, using scribble labels to learn salient object detection has not been explored.
Jing Zhang +5 more
semanticscholar +1 more source
The RAST Server: Rapid Annotations using Subsystems Technology
BMC Genomics, 2008 BackgroundThe number of prokaryotic genome sequences becoming available is growing steadily and is growing faster than our ability to accurately annotate them.DescriptionWe describe a fully automated service for annotating bacterial and archaeal genomes.
R. Aziz +25 more
semanticscholar +1 more source
BoxInst: High-Performance Instance Segmentation with Box Annotations [PDF]
Computer Vision and Pattern Recognition, 2020 We present a high-performance method that can achieve mask-level instance segmentation with only bounding-box annotations for training. While this setting has been studied in the literature, here we show significantly stronger performance with a simple ...
Zhi Tian +3 more
semanticscholar +1 more source
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations [PDF]
Computer Vision and Pattern Recognition, 2021 Deep learning in the presence of noisy annotations has been studied extensively in classification, but much less in segmentation tasks. In this work, we study the learning dynamics of deep segmentation networks trained on inaccurately annotated data.
Sheng Liu +4 more
semanticscholar +1 more source
IEEE Access, 2019 Advances in whole-slide images (WSI) technology can promote the pathology environment based on digital imaging and make a very compelling case as part of the clinical workflow.
Yi Jin +5 more
doaj +1 more source
Genome Medicine, 2020 Whole exome sequencing has been increasingly used in human disease studies. Prioritization based on appropriate functional annotations has been used as an indispensable step to select candidate variants.
Xiaoming Liu +4 more
semanticscholar +1 more source
Semantic Segmentation of Remote Sensing Images With Sparse Annotations [PDF]
IEEE Geoscience and Remote Sensing Letters, 2021 Training convolutional neural networks (CNNs) for very high-resolution images requires a large quantity of high-quality pixel-level annotations, which is extremely labor-intensive and time-consuming to produce.
Yuansheng Hua +4 more
semanticscholar +1 more source
More Mysteries about the Saint-Omer Folio: Nevill and other Marks of Ownership
Etudes Epistémè, 2015 Since the discovery of a copy of a Shakespeare First Folio last November in the Saint-Omer public library, the scholars’ attention has focussed on the identity of the mysterious Nevill, whose name stares at any reader opening the book. His identification,
Line Cottegnies, Gisèle Venet
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