Results 81 to 90 of about 6,440,801 (359)

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration [PDF]

Computer Vision and Pattern Recognition, 2020
Extracting robust and general 3D local features is key to downstream tasks such as point cloud registration and reconstruction. Existing learning-based local descriptors are either sensitive to rotation transformations, or rely on classical handcrafted ...
Sheng Ao, Qingyong Hu, Bo Yang, A. Markham, Yulan Guo   +4 more
semanticscholar   +1 more source

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

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

Molecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani, Gilgi Friedlander, Gili Perry, Nora Balint‐Lahat, Shlomit Gilad, Dana Morzaev‐Sulzbach, Anjana Shenoy, Noa Bossel Ben‐Moshe, Anya Pavlovsky, Rinat Bernstein‐Molho, Eytan Domany, Iris Barshack, Tamar Geiger, Bella Kaufman, Einav Nili Gal‐Yam   +14 more
wiley   +1 more source

Three-Dimensional Point Cloud Applications, Datasets, and Compression Methodologies for Remote Sensing: A Meta-Survey

Sensors
This meta-survey provides a comprehensive review of 3D point cloud (PC) applications in remote sensing (RS), essential datasets available for research and development purposes, and state-of-the-art point cloud compression methods.
Emil Dumic, Luís A. da Silva Cruz
doaj   +1 more source

POINT CLOUD SMOOTH SAMPLING AND SURFACE RECONSTRUCTION BASED ON MOVING LEAST SQUARES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
In point cloud data processing, smooth sampling and surface reconstruction are important aspects of point cloud data processing. In view of the current point cloud sampling method, the point cloud distribution is not uniform, the point cloud feature ...
C. L. Kang, C. L. Kang, T. N. Lu, T. N. Lu, M. M. Zong, M. M. Zong, F. Wang, F. Wang, Y. Cheng, Y. Cheng   +9 more
doaj   +1 more source

Genomics‐led approach to drug testing in models of undifferentiated pleomorphic sarcoma

Molecular Oncology, EarlyView.
GA text Genomic data from undifferentiated pleomorphic sarcoma patients and preclinical models were used to inform a targeted drug screen. Selected compounds were tested in 2D and 3D cultures of UPS cell lines. A combination of trametinib and infigratinib was synergistic in the majority of UPS cell lines tested, which was further confirmed in an ex ...
Piotr J. Manasterski, Molly R. Danks, John P. Thomson, Morwenna Muir, Martin Lee, John C. Dawson, Ana T. Amaral, Juan Diaz‐Martin, David S. Moura, Javier Martin‐Broto, Ali Alsaadi, Donald M. Salter, Ailsa J. Oswald, Graeme Grimes, Larry Hayward, Ted R. Hupp, Karen Sisley, Paul H. Huang, Neil O. Carragher, Valerie G. Brunton   +19 more
wiley   +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

Single‐cell transcriptomics redefines focal neuroendocrine differentiation as a distinct prostate cancer pathology

Molecular Oncology, EarlyView.
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban, Shivakumar Keerthikumar, Ashlee Clark, Hong Wang, Belinda Phipson, Andrew Bakshi, Andrew Ryan, Heather Thorne, Renea A. Taylor, Mitchell G. Lawrence, Gail P. Risbridger, Roxanne Toivanen, David L. Goode   +12 more
wiley   +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

Deep Learning Point Cloud Odometry

U.Porto Journal of Engineering, 2021
Achieving persistent and reliable autonomy for mobile robots in challenging field mission scenarios is a long-time quest for the Robotics research community. Deep learning-based LIDAR odometry is attracting increasing research interest as a technological
Bernardo Teixeira, Hugo Silva
doaj   +1 more source