Results 101 to 110 of about 5,326,339 (296)

Fully convolutional networks for diabetic foot ulcer segmentation [PDF]

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
Diabetic Foot Ulcer (DFU) is a major complication of Diabetes, which if not managed properly can lead to amputation. DFU can appear anywhere on the foot and can vary in size, colour, and contrast depending on various pathologies. Current clinical approaches to DFU treatment rely on patients and clinician vigilance, which has significant limitations ...
Manu Goyal, Moi Hoon Yap, Neil D. Reeves, Satyan Rajbhandari, Jennifer Spragg   +4 more
openaire   +3 more sources

Automatic detection of cone photoreceptors with fully convolutional networks

, 2019
Purpose: To develop a fully automatic method, based on deep learning algorithms, for determining the locations of cone photoreceptors within adaptive optics scanning laser ophthalmoscope images and evaluate its performance against a dataset of manually ...
Alonso-Caneiro, D, Chen, FK, Sampson, DM, Hamwood, J, Collins, MJ   +4 more
core   +1 more source

Mechanisms of Degradation in Li‐Ion Batteries Under Low Temperature Exposures

Advanced Functional Materials, EarlyView.
Low‐temperature exposures, or freeze‐thaw cycles, are observed to significantly accelerate the degradation of Li‐ion batteries. A combination of electrolyte phase separation and mechanochemical stress leads to reversible and irreversible performance losses.
Mihir Ojha, Shervin Alaei, Jayanth Ramamurthy, Luke P. Lounsbury, Md Mahdi Ul Ishtiaque, Stuart Leland, Niraj P. Atale, Sourav Das, Siddhartha Pathak, Pranav Shrotriya, Steve W. Martin, Todd A. Kingston, Cary L. Pint   +12 more
wiley   +1 more source

Multi-oriented Text Detection with Fully Convolutional Networks [PDF]

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
In this paper, we propose a novel approach for text detec- tion in natural images. Both local and global cues are taken into account for localizing text lines in a coarse-to-fine pro- cedure. First, a Fully Convolutional Network (FCN) model is trained to predict the salient map of text regions in a holistic manner.
Zheng Zhang 0022, Chengquan Zhang, Wei Shen 0002, Cong Yao, Wenyu Liu 0001, Xiang Bai   +5 more
openaire   +3 more sources

3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network [PDF]

Schizophrenia (ScZ) is a chronic mental disorder affecting the function of the brain, which causes emotional, social, and cognitive problems.
Wen, Peng, Shen, Mingkan, Li, Yan, Song, Bo   +3 more
core   +1 more source

Reconfigurable Au Nanoparticle Monolayers on Regenerated Cellulose Hydrogels: Highly Sensitive SERS Detection of Polystyrene Micro/Nanoplastics With Interpretable Deep Learning

Advanced Functional Materials, EarlyView.
A regenerated cellulose (RC) hydrogel‐based SERS substrate integrating a Marangoni‐transferred gold nanoparticle self‐assembled monolayer (Au‐SAM) is fabricated. Reswelling‐induced hotspot formation enhances polystyrene micro/nanoplastics (PS MNPs) detection in complex matrices, providing reproducible, high‐throughput SERS signals across diverse ...
Youngho Jeon, Yu‐Jin Jeon, Suji Lee, Jeseong Kim, Dae‐Hyun Jung, Jungmok You   +5 more
wiley   +1 more source

Superposition Coding Aided Bi-directional Relay Transmission Employing Iteratively Decoded Self-Concatenated Convolutional Codes

, 2010
In this paper, we consider coding schemes designed for two nodes communicating with each other with the aid of a relay node, which receives information from the two nodes in the first time slot.
Muhammad Fasih Uddin Butt, Butt, Muhammad Fasih, Ng, Soon, Soon Xin Ng, Rong Zhang, Zhang, Rong, Hanzo, Lajos, Lajos Hanzo   +7 more
core   +1 more source

A Fully Convolutional Encoder–Decoder Spatial–Temporal Network for Real-Time Background Subtraction

IEEE Access, 2019
Background subtraction is described as the task of distinguishing pixels into moving objects and the background in a frame. In this paper, we propose a fully convolutional encoder-decoder spatial-temporal network (FCESNet) to achieve real-time background
Mingkai Qiu, Xiying Li
doaj   +1 more source

Saliency Detection With Fully Convolutional Neural Network

CoRR, 2019
Saliency detection is an important task in image processing as it can solve many problems and it usually is the first step in for other processes. Convolutional neural networks have been proved to be very effective on several image processing tasks such as classification, segmentation, semantic colorization and object manipulation.
Hooman Misaghi, Reza Askari Moghadam, Ali Mahmoudi, Kurosh Madani   +3 more
openaire   +3 more sources

Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring

Advanced Functional Materials, EarlyView.
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng, Shawn Kim, Jonathan Avery, Younghoon Kwon, Jae‐Hyun Chung   +4 more
wiley   +1 more source