Results 181 to 190 of about 514,020 (257)

Few-shot open world learning

, 2020
Datasynsystemer blir i økende grad tatt i bruk ute i dagligdags- og feltarbeidsapplikasjoner. Denne overgangen fra kontrollerte lab-omgivelser til den vide verden byr derimot på flere nye problemer. I stedet for kun å møte på klasser som er brukt under treningen av modellene så kan potensielt hvilken som helst objektklasse dukke opp under en åpen ...
openaire   +1 more source

A Protein‐Centric Strategy Coupled with Match‐Between‐Run Glycoproteomics Enables Discovery of Robust Site‐Specific Glycan Biomarkers for Hepatocellular Carcinoma

Advanced Science, EarlyView.
In this study, a highly robust N‐glycoproteomics (HRN) platform with a newly developed match‐between‐run scheme is used for biomarker discovery. This study proposes a protein‐centric strategy to prioritize proteins susceptible to aberrant glycosylation.
Lei Liu, Taiheng Ma, Qi Liu, He Zhu, Zheng Fang, Jiahong Ma, Ting Yu, Yan Wang, Jiahua Zhou, Xiaoyan Liu, Yaqian Li, Zhimou Guo, Xinmiao Liang, Mingming Dong, Deguang Sun, Mingliang Ye   +15 more
wiley   +1 more source

Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural Fields. [PDF]

Brain Sci
Su J, Xing L, Li T, Xiang N, Shi J, Jin D.   +5 more
europepmc   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

Advanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao, Lingyin Zhang, Bingzheng Wu, Haonan Chen, Junhao Sun, Linghao Yan, Wenfei Li, Yangyang Wu, Zhifang Wang, Qigang Zhong, Lifeng Chi   +10 more
wiley   +1 more source

Self-supervised and few-shot learning for robust bioaerosol monitoring. [PDF]

Aerobiologia (Bologna)
Willi A, Baumann P, Erb S, Gröger F, Zeder Y, Lionetti S.   +5 more
europepmc   +1 more source

Integrated Microfluidic Platform for High‐Throughput Generation of Intestinal Organoids in Hydrogel Droplets

Advanced Science, EarlyView.
ABSTRACT Organoid research offers valuable insights into human biology and disease, but reproducibility and scalability remain significant challenges, particularly for epithelial organoids. Here, we present an integrated microfluidic platform that addresses these limitations by enabling high‐throughput generation of uniform hydrogel microparticles ...
Barbora Lavickova, Hannah Kronabitter, Mar Cervera‐Negueruela, Eylul Ceylan, Laura Benito‐Zarza, Rubén López‐Sandoval, Irineja Cubela, J. Gray Camp, Jose L. Garcia‐Cordero   +8 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

Few-shot learning for non-vitrified ice segmentation. [PDF]

Sci Rep
Vivas-Lago A, Castaño-Díez D.
europepmc   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

Exploration of 3D Few-Shot Learning Techniques for Classification of Knee Joint Injuries on MR Images. [PDF]

Diagnostics (Basel)
Dang VH, Nguyen MT, Le NH, Nguyen TP, Tran QV, Mai TH, Vy VPT, Hung TNK, Lee CY, Tseng CL, Le NQK, Nguyen PA.   +11 more
europepmc   +1 more source