Results 101 to 110 of about 342,749 (263)
FEBS Letters, EarlyView.This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source
A unified deep learning framework for segmentation in remote sensing imagery
Discover ComputingDeep learning-based segmentation models have gained significant focus in various computer vision applications, including remote sensing and medical imaging.
Babitha Lokula +2 more
doaj +1 more source
Learning to Segment Every Thing
, 2018 Most methods for object instance segmentation require all training examples to be labeled with segmentation masks. This requirement makes it expensive to annotate new categories and has restricted instance segmentation models to ~100 well-annotated ...
Darrell, Trevor +4 more
core +1 more source
Embedding-based Instance Segmentation in Microscopy
, 2021 Automatic detection and segmentation of objects in 2D and 3D microscopy data is important for countless biomedical applications. In the natural image domain, spatial embedding-based instance segmentation methods are known to yield high-quality results, but their utility for segmenting microscopy data is currently little researched.
Lalit, M., Tomancak, P., Jug, F.
openaire +3 more sources
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
FEBS Letters, EarlyView.Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source
A Unified Deep Architecture for Segmentation in Remote Sensing Images
Applied Computational Intelligence and Soft ComputingDeep learning–based segmentation models have gained significant focus in various computer vision applications, including remote sensing and medical imaging.
Nagamani Gonthina +1 more
doaj +1 more source
Synthetic instance segmentation from semantic image segmentation masks
Knowledge-Based Systems12 pages,4 ...
Yuchen Shen +4 more
openaire +2 more sources
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Slice-Based Instance and Semantic Segmentation for Low-Channel Roadside LiDAR Data
Remote Sensing, 2020 More and more scholars are committed to light detection and ranging (LiDAR) as a roadside sensor to obtain traffic flow data. Filtering and clustering are common methods to extract pedestrians and vehicles from point clouds.
Hui Liu +3 more
doaj +1 more source
Unsupervised instance segmentation with superpixels
Pattern RecognitionInstance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
openaire +2 more sources