Results 81 to 90 of about 791,315 (305)

Crack-MsCGA: A Deep Learning Network with Multi-Scale Attention for Pavement Crack Detection

Sensors
Pavement crack detection is crucial for ensuring road safety and reducing maintenance costs. Existing methods typically use convolutional neural networks (CNNs) to extract multi-level features from pavement images and employ attention mechanisms to ...
Guoxi Liu, Xiaojing Wu, Fei Dai, Guozhi Liu, Lecheng Li, Bi Huang   +5 more
doaj   +1 more source

Large-scale tissue histopathology image segmentation based on feature pyramid

EURASIP Journal on Image and Video Processing, 2018
Histopathology image analysis is a gold standard for cancer recognition and diagnosis. But typical problems with histopathology images that hamper automatic analysis include complex clinical features, insufficient training data, and large size of a ...
Pinle Qin, Jun Chen, Jianchao Zeng, Rui Chai, Lifang Wang   +4 more
doaj   +1 more source

MSMVD: Exploiting Multi-scale Image Features via Multi-scale BEV Features for Multi-view Pedestrian Detection

CoRR
Multi-View Pedestrian Detection (MVPD) aims to detect pedestrians in the form of a bird's eye view (BEV) from multi-view images. In MVPD, end-to-end trainable deep learning methods have progressed greatly. However, they often struggle to detect pedestrians with consistently small or large scales in views or with vastly different scales between views ...
Taiga Yamane, Satoshi Suzuki, Ryo Masumura, Shota Orihashi, Tomohiro Tanaka, Mana Ihori, Naoki Makishima, Naotaka Kawata   +7 more
openaire   +2 more sources

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification

Sensors, 2019
Deep learning models combining spectral and spatial features have been proven to be effective for hyperspectral image (HSI) classification. However, most spatial feature integration methods only consider a single input spatial scale regardless of various
Simin Li, Xueyu Zhu, Jie Bao
doaj   +1 more source

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning

CoRR
Feature learning in neural networks is crucial for their expressive power and inductive biases, motivating various theoretical approaches. Some approaches describe network behavior after training through a change in kernel scale from initialization, resulting in a generalization power comparable to a Gaussian process.
Noa Rubin, Kirsten Fischer, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias   +7 more
openaire   +2 more sources

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Moiré Pattern Removal with Multi-scale Feature Enhancing Network

, 2019
Taking high-quality photos of digital screens is difficult, as such photos are usually contaminated with moire patterns. Considering the nature of wide-range frequencies of moire' patterns, existing works adopt the multi-scale framework to address this ...
Xiangyang Luo, Xin Zheng, Qianyu Wang, Gao, Tianyu, Luo, Xiangyang, Tianyu Gao, Yanqing Guo, Zheng, Xin, Guo, Yanqing, Wang, Qianyu   +9 more
core   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source

Multi-Scale Earthquake Damaged Building Feature Set

Data
Earthquake disasters are marked by their unpredictability and potential for extreme destructiveness. Accurate information on building damage, captured in post-earthquake remote sensing images, is critical for an effective post-disaster emergency response.
Guorui Gao, Futao Wang, Zhenqing Wang, Qing Zhao, Litao Wang, Jinfeng Zhu, Wenliang Liu, Gang Qin, Yanfang Hou   +8 more
openaire   +2 more sources