Results 21 to 30 of about 93,854 (214)
Improved U-Net: Fully Convolutional Network Model for Skin-Lesion Segmentation
The early and accurate diagnosis of skin cancer is crucial for providing patients with advanced treatment by focusing medical personnel on specific parts of the skin.
Karshiev Sanjar +5 more
doaj +1 more source
Shelf Commodity Identification Method Based on Hybrid Fully Convolutional Automatic Encoder
At present, the semantic information segmentation algorithms mainly include FCN (Fully Convolutional Network), PSPNet (Pyramid Scene Parsing Network), Deeplab and so on. In view of the inadequate results of features extracted by these algorithms from RGB
Aofeng Cheng, Guodong Chen, Zheng Wang
doaj +1 more source
A two‐scaled fully convolutional learning network for road detection
This paper aims to detect road regions based on a two‐scaled deep neural network. The information from different scales is helpful to boost the performance of deep learning models, and it is also a widely used strategy in various computer vision ...
Dingding Yu, Xianliang Hu, Kewei Liang
doaj +1 more source
Optimization of Fully Convolutional Network for Road Safety Attribute Detection
Even though, deep learning techniques demonstrate an outstanding performance in various applications, success of deep learning techniques depends upon appropriately setting their parameters in achieving most accurate results.
Pubudu Sanjeewani, Brijesh Verma
doaj +1 more source
Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network
Conventional remote sensing image retrieval (RSIR) system usually performs single-label retrieval where each image is annotated by a single label representing the most significant semantic content of the image.
Zhenfeng Shao +4 more
doaj +1 more source
EFFICIENT LARGE-SCALE AIRBORNE LIDAR DATA CLASSIFICATION VIA FULLY CONVOLUTIONAL NETWORK [PDF]
Nowadays, we are witnessing an increasing availability of large-scale airborne LiDAR (Light Detection and Ranging) data, that greatly improve our knowledge of urban areas and natural environment.
E. Maset, B. Padova, A. Fusiello
doaj +1 more source
Image Quality Predictor with Highly Efficient Fully Convolutional Neural Network
A highly efficient deep fully convolutional neural network (DFCN) for image quality assessment (IQA) is designed in this paper. The DFCN consists of two branches, one scoring local patches and the other estimating the weights of local patches to enhance ...
Cao Yu-Dong, Liao Xin-Lin, Liu Hai-Yan
doaj +1 more source
Multiscale fully convolutional network‐based approach for multilingual character segmentation
Character segmentation is a challenging task for optical character recognition systems. Traditional methods usually utilize rule‐based algorithms but most of them are not applicable in modern intelligent recognition applications that require high ...
Chao Yu, Jin Liu, Yunhui Li
doaj +1 more source
Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli +13 more
wiley +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source

