Results 61 to 70 of about 369,232 (279)

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Marker-based adaptive virtual military training system for enhanced immersion and realism

ETRI Journal
The complexity of modern battlefields demands advanced military training systems that prepare forces for realistic scenarios. Even though traditional training methods are effective, they are costly and time consuming and are associated with safety risks.
Hoseok Tong, Seongjean Kim, Hyunse Yoon, Jungsu Kim, Soyeon Lee, Sangjoon Park, Blagovest Vladimirov, Sanghoon Lee   +7 more
doaj   +1 more source

Exploiting temporal information for 3D pose estimation

, 2018
In this work, we address the problem of 3D human pose estimation from a sequence of 2D human poses. Although the recent success of deep networks has led many state-of-the-art methods for 3D pose estimation to train deep networks end-to-end to predict ...
Alejandro Newell, C Barron, C Ionescu, D Mehta, F Bogo, G Mori, HJ Lee, L Bo, L Sigal, S Hochreiter, S Li, S Park, V Ramakrishna, X Zhou, Y Du   +14 more
core   +1 more source

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source

Efficient Monocular Human Pose Estimation Based on Deep Learning Methods: A Survey

IEEE Access
Human pose estimation (HPE) is a crucial computer vision task with a wide range of applications in sports medicine, healthcare, virtual reality, and human-computer interaction.
Xuke Yan, Bo Liu, Guangzhi Qu
doaj   +1 more source

Posegu: 3d Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning

SSRN Electronic Journal, 2022
3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D pose datasets, and they suffer poor model generalization on unseen poses due to limited diversity of 3D poses in training sets.
Guan, Shannan, Lu, Haiyan, Zhu, Linchao, Fang, Gengfa   +3 more
openaire   +2 more sources

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

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, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Human pose estimation with general contact

Computational Visual Media
Existing human pose estimation methods seldom consider the impact or constraint of different types of contact. In this paper, we elaborate on the impact of both body-scene contact and self-contact on pose estimation and refer to them as general contact ...
He Zhang, Jianhui Zhao, Fan Li, Yitian Wu, Chao Tan, Shuangpeng Sun, Yaohua Wu, You Li, Tao Yu   +8 more
doaj   +1 more source

Efficient Human Pose Estimation in Hierarchical Context

IEEE Access, 2019
Most existing human pose estimation methods focus on enhancing the accuracy performance alone while ignoring the critical model efficiency issue. This dramatically limits their scalability and deployability in large-scale applications.
Feng Zhang, Xiatian Zhu, Mao Ye
doaj   +1 more source

Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation

, 2015
We propose a new learning-based method for estimating 2D human pose from a single image, using Dual-Source Deep Convolutional Neural Networks (DS-CNN).
Fan, Xiaochuan, Lin, Yuewei, Wang, Song, Zheng, Kang   +3 more
core   +1 more source