Results 71 to 80 of about 1,160,563 (325)

Extremal optimization for sensor report pre-processing

open access: yes, 2004
We describe the recently introduced extremal optimization algorithm and apply it to target detection and association problems arising in pre-processing for multi-target tracking.
Svenson, Pontus
core   +2 more sources

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

open access: yesMolecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena   +15 more
wiley   +1 more source

Multisensor Multi-target Tracking

open access: yes, 2020
n a normal multitarget tracking (MTT) situation,the sensor state is either accepted known, or following is acted inthe sensor’s (relative) organize outline. This supposition doesn’thold when the sensor, e.g., a car radar, is mounted on a vehicle,and the objective state ought to be spoken to in a worldwide(outright) organize ...
openaire   +2 more sources

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

open access: yesMolecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy   +10 more
wiley   +1 more source

An efficient message passing algorithm for multi-target tracking [PDF]

open access: yes, 2009
We propose a new approach for multi-sensor multi-target tracking by constructing statistical models on graphs with continuous-valued nodes for target states and discrete-valued nodes for data association hypotheses.
Chen, Lei   +3 more
core  

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

open access: yesFEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani   +6 more
wiley   +1 more source

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects

open access: yes, 2016
Recently, Minimum Cost Multicut Formulations have been proposed and proven to be successful in both motion trajectory segmentation and multi-target tracking scenarios.
Andres, Bjoern   +5 more
core   +1 more source

Multi-Target Tracking in Distributed Sensor Networks using Particle PHD Filters

open access: yes, 2018
Multi-target tracking is an important problem in civilian and military applications. This paper investigates multi-target tracking in distributed sensor networks.
Leonard, Mark R., Zoubir, Abdelhak M.
core   +1 more source

Efficient Multi-View Multi-Target Tracking Using a Distributed Camera Network

open access: yesIEEE Sensors Journal, 2020
In this paper, we propose a multi-target tracking method using a distributed camera network, which can effectively handle the occlusion and reidenfication problems by combining advanced deep learning and distributed information fusion.
Li He   +4 more
semanticscholar   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

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