Nonlinear rotordynamics of a drillstring in curved wells: Models and numerical techniques

KL Nguyen, QT Tran, MA Andrianoely, L Manin… - International Journal of …, 2020 - Elsevier
… or geothermic extraction use a slender structure introduced … The drilling structure consists
in a series of drill-pipes and … The drilling structure is meshed along the axial curvilinear

Segmentation and classification approaches of clinically relevant curvilinear structures: a review

R Kv, K Prasad, P Peralam Yegneswaran - Journal of Medical Systems, 2023 - Springer
Curvilinear structures have long, thin and line-like features … Image patches acquired from
random locations were converted … The extracted features are fed to two parallel attention blocks…

A plug and play framework for curvilinear structures segmentation based on a learned reconnecting regularization

SC Esteves, A Vacavant, O Merveille - Available at SSRN 4573124 - papers.ssrn.com
… are complex objects that exhibit a thin, curved and elongated shape. … binary curvilinear
structures, our algorithm creates randomExtraction of the curvilinear structure centerlines and its …

CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging

L Mou, Y Zhao, H Fu, Y Liu, J Cheng, Y Zheng… - Medical image …, 2021 - Elsevier
… They can enhance the network to capture long-range … To enable our proposed CS 2 -Net to
extract the 3D tree-like structures, … the performance, which includes random cropping (with a …

Design and Implementation of shape and texture based Image Segmentation on morphological gradient approach

K Michael Angelo… - Journal of Computational …, 2020 - ingentaconnect.com
… , 2D filtering of curvilinear structures by ordering the orientational … as stochastic extraction
of elongated curvilinear structures, … application of morphological gradient technique which pro…

YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation

L Lin, L Peng, H He, P Cheng, J Wu, KKY Wong… - Medical Image …, 2023 - Elsevier
Curvilinear structures are elongated, curved, multi-scale … augmenting the extracted
backgrounds through random horizontal … We visualize representative examples, in terms of the …

CrackViT: a unified CNN-transformer model for pixel-level crack extraction

J Quan, B Ge, M Wang - Neural Computing and Applications, 2023 - Springer
… ) that jointly captures the detailed structures and long-distance … the effectiveness of SFA in
extracting curvilinear structures. … over five runs with the same random seeds. And all methods …

On the broadband vibration isolation performance of nonlocal total-internal-reflection metasurfaces

H Zhu, TF Walsh, BH Jared, F Semperlotti - Journal of Sound and Vibration, 2022 - Elsevier
… nonlocal design that leverages long-range connections … vibration isolation mechanism
under curvilinear topology … non-nominal configuration applies random variations extracted from …

Segmentation of blood vessels using rule-based and machine-learning-based methods: a review

F Zhao, Y Chen, Y Hou, X He - Multimedia Systems, 2019 - Springer
… objects, including blood vessels as well as other thin, long, line-like structures. … the random
forests based vessel segmentation methods have to deal with handcrafted feature extraction, …

Mixed pooling and richer attention feature fusion for crack detection

Q Zhou, Z Qu, C Cao - Pattern Recognition Letters, 2021 - Elsevier
… due to the complex background from long and sharp crack … Moreover, we first extract the
richer convolutional features to … as support vector machine and random forest are proposed for …