Results 81 to 90 of about 711,042 (336)
Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Simple Unsupervised Multi-Object Tracking
, 2020 Multi-object tracking has seen a lot of progress recently, albeit with substantial annotation costs for developing better and larger labeled datasets. In this work, we remove the need for annotated datasets by proposing an unsupervised re-identification network, thus sidestepping the labeling costs entirely, required for training.
Karthik, Shyamgopal +2 more
openaire +2 more sources
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
DronesMulti-object tracking (MOT) is a key intermediate task in many practical applications and theoretical fields, facing significant challenges due to complex scenarios, particularly in the context of drone-based air-to-ground military operations.
Chenghang Wang +4 more
doaj +1 more source
Deep learning for multiple object tracking: a survey
IET Computer Vision, 2019 Deep learning has been proved effective in multiple object tracking, which confronts the difficulties of frequent occlusions, confusing appearance, in‐and‐out objects, and lack of enough labelled data.
Yingkun Xu +3 more
doaj +1 more source
Multi-Target Tracking in Distributed Sensor Networks using Particle PHD Filters
, 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
Multi-Object Tracking as Attention Mechanism
2023 IEEE International Conference on Image Processing (ICIP), 2023 Accepted to IEEE International Conference on Image Processing (IEEE ICIP ...
Fukui, Hiroshi +2 more
openaire +2 more sources
Strength through diversity: how cancers thrive when clones cooperate
Molecular Oncology, EarlyView.Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
, 2020 In recent years, numerous effective multi-object tracking (MOT) methods are developed because of the wide range of applications. Existing performance evaluations of MOT methods usually separate the object tracking step from the object detection step by ...
Cai, Zhaowei +8 more
core +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source