Results 51 to 60 of about 20,764 (282)

Road Extraction by Deep Residual U-Net

, 2017
Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network which combines the strengths of residual learning and U-Net is proposed for road area ...
Liu, Qingjie, Wang, Yunhong, Zhang, Zhengxin   +2 more
core   +1 more source

Chirality Transfer via Orientational Order of Micellar Assemblies on Gold Nanocrystals

Advanced Materials, EarlyView.
A mechanism for chiral growth of Au nanocrystals mediated by orientational order of chiral micelles at seed surfaces is demonstrated. 3D electron microscopy and molecular dynamics simulations reveal how alignment of the micelles along crystal directions and torsion–orientation coupling govern chirality transfer, providing a framework to rationalize ...
Robin Girod, Kyle Van Gordon, Fahim Faraji, Mikhail Mychinko, Francisco Bevilacqua, Cem Sevik, Milorad V. Milošević, Luis M. Liz‐Marzán, Sara Bals   +8 more
wiley   +1 more source

Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses

, 2019
In this work, we adapt a method based on multiple hypothesis tracking (MHT) that has been shown to give state-of-the-art vessel segmentation results in interactive settings, for the purpose of extracting trees.
de Bruijne, Marleen, Pedersen, Jesper H, Petersen, Jens, Selvan, Raghavendra   +3 more
core   +1 more source

In Situ Copper Electroplating Turns Material Extrusion 3D Printers Into Metal–Polymer Hybrid Fabricators

Advanced Materials Technologies, EarlyView.
An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco, Nicola Larovere, Antonio Zagaria, Antonio Pavone, Rosanna Rifino, Gianni Stano   +5 more
wiley   +1 more source

Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction

, 2017
Feature extraction is a very crucial task in image and pixel (voxel) classification and regression in biomedical image modeling. In this work we present a machine learning based feature extraction scheme based on inception models for pixel classification
Menze, Bjoern H., Rempfler, Markus, Tetteh, Giles, Zimmer, Claus   +3 more
core   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning

, 2017
In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms.
Gu, Yun, Hu, Yang, Yang, Guang-Zhong, Yang, Jie   +3 more
core   +1 more source

Biohybrid Actuators in Compact Arrangement with Embedded X Electrode

Advanced Robotics Research, EarlyView.
Selective control of multimuscle biohybrid actuators is crucial for achieving complex movements of biohybrid robots. In this study, embedded X electrodes are fabricated to selectively control multiple muscles, realizing the robotic finger's bidirectional movements.
Tingyu Li, Minghao Nie, Shoji Takeuchi
wiley   +1 more source

Vessel tractography using an intensity based tensor model [PDF]

, 2011
In this paper, we propose a novel tubular structure segmen- tation method, which is based on an intensity-based tensor that fits to a vessel. Our model is initialized with a single seed point and it is ca- pable of capturing whole vessel tree by an ...
Cetin, Suheyla, Degertekin, Muzaffer, Demir, Ali, Değertekin, Muzaffer, Unal, Gozde, Yezzi, Anthony Joseph, Çetin, Süheyla, Ünal, Gözde   +7 more
core  

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

, 2019
The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to our ...
Fang, Linjing, Haft-Javaherian, Mohammad, Muse, Victorine, Nishimura, Nozomi, Sabuncu, Mert R., Schaffer, Chris B.   +5 more
core   +2 more sources