Results 121 to 130 of about 21,066 (308)
, 2002 Copyright © 2002 IEEESegmenting foreground objects of interest in real time is an important step in many applications of video surveillance, vehicle tracking and traffic monitoring.
Kumar, Pankaj, Lee, A., Sengupta, Kuntal
core +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
An improved Vibe algorithm for illumination mutations
Journal of Measurement Science and Instrumentation, 2022 The visual background extractor(Vibe) algorithm can lead to a large area of false detection in the extracted foreground target when the illumination is mutated. An improved Vibe method based on the YCbCr color space and improved three-frame difference is
LIANG Jincheng +2 more
doaj
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Foreground motion detection in compressed video data
, 2017 Technologies are generally described to identify foreground motion detection in compressed video data. In some examples, a foreground motion detection module may deter mine transform-coefficient-magnitude sums and motion vector-magnitude sums associated ...
Dey, Bhaskar, Kundu, Malay Kumar
core
Neural Controller for PTZ cameras based on nonpanoramic foreground detection
, 2017 —In this paper a controller for PTZ cameras based on an unsupervised neural network model is presented. It takes advantage of the foreground mask generated by a nonparametric foreground detection subsystem.
Molina-Cabello, Miguel Ángel +10 more
core +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection
IEEE Photonics JournalHuman keypoint detection has significant value in computer vision tasks such as human-machine interaction. Recently, unsupervised human keypoint detection has become prevalent due to concerns about data privacy.
Shuxian Li +5 more
doaj +1 more source
Foreground and background detection method
, 2019 The present invention concerns a method for assigning a pixel to one of a foreground pixel set and a background pixel set. In this method, if a first condition is met the pixel is assigned to the background pixel set , and if the first condition is not met and a second condition is met, the pixel is assigned to the foreground pixel set.
Van Droogenbroeck, Marc +2 more
openaire +2 more sources
Molecular Oncology, EarlyView.Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source