Results 51 to 60 of about 1,041,889 (332)

Deep Projective 3D Semantic Segmentation

, 2017
Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmentation, its impact on point cloud data has been limited so far.
AE Johnson, JA Montoya-Zegarra, M Kazhdan, R Szeliski, S Gupta, S Salti, T Hackel   +6 more
core   +1 more source

Unveiling unique protein and phosphorylation signatures in lung adenocarcinomas with and without ALK, EGFR, and KRAS genetic alterations

Molecular Oncology, EarlyView.
Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi, Mirjam Balbisi, Simon Sugár, Lóránd Váncza, Eszter Regős, Ilona Kovalszky, Ibolya Laczó, Tünde Harkó, Gábor Kecskeméti, Zoltán Szabó, Judit Moldvay, László Drahos, Lilla Turiák   +12 more
wiley   +1 more source

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, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Point Cloud Upsampling Network Incorporating Transformer and Multi-stage Learning Framework [PDF]

Jisuanji kexue
Drawing on Transformer’s powerful feature encoding capabilities in the fields of natural language and computer vision,and inspired by a multi-stage learning framework,a point cloud upsampling network that incorporates Transformer and multi-stage learning
LI Zekai, BAI Zhengyao, XIAO Xiao, ZHANG Yihan, YOU Yilin
doaj   +1 more source

Recoverable 3D Point Cloud Compression Algorithm Based on Vector Similarity

Jisuanji kexue yu tansuo, 2020
Data compression for 3D point cloud suffers from several problems, including difficult to preserve the feature details, over-compress, and difficult to restore a compressed model. To alleviate these problems, CVS (compression based on vector similarity),
ZHANG Xukang, NIU Baoning, ZHANG Jinwen
doaj   +1 more source

Studi Registrasi Point Cloud Pada Pemrosesan Data Terrestrial Laser Scanner (Tls) (Studi Kasus : Jembatan Gading Batavia, Kelapa Gading, Jakarta Utara) [PDF]

, 2014
In measurement method by using Terestrial Laser Scanner (TLS) technology, registration process hugely affected in determining the quality of geometry model and the accuracy of data produced.
Nandaru, A. (Alfin), Sudarsono, B. (Bambang), Yuwono, B. D. (Bambang)   +2 more
core  

Sequential Point Clouds: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Survey paper on sequential point ...
Haiyan Wang, Yingli Tian
openaire   +3 more sources

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education

FEBS Open Bio, EarlyView.
This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley   +1 more source

A Registration Method Based on Ordered Point Clouds for Key Components of Trains

Sensors
Point cloud registration is pivotal across various applications, yet traditional methods rely on unordered point clouds, leading to significant challenges in terms of computational complexity and feature richness.
Kai Yang, Xiaopeng Deng, Zijian Bai, Yingying Wan, Liming Xie, Ni Zeng   +5 more
doaj   +1 more source

Research on denoising of skinned point cloud based on multi-feature point parameter weight optimization

Hangkong gongcheng jinzhan, 2023
The effect of point cloud denoising is very important to the subsequent surface fitting and modeling design in 3D scanning process. How to extract feature points quickly and accurately has become a research hotspot.However,the key point of point cloud ...
LI Binpeng, MAO Jian, YANG Jie, CAI Hang
doaj   +1 more source