Results 31 to 40 of about 6,343,053 (206)
Time series classification based on statistical features
EURASIP Journal on Wireless Communications and Networking, 2020 This paper presents a statistical feature approach in fully convolutional time series classification (TSC), which is aimed at improving the accuracy and efficiency of TSC.
Yuxia Lei, Zhongqiang Wu
doaj +1 more source
Comput. Biol. Medicine, 2022 This article presents a novel end-to-end automatic solution for semantic segmentation of optical coherence tomography (OCT) images. OCT is a non-invasive imaging technology widely used in clinical practice due to its ability to acquire high-resolution ...
Esther Parra-Mora, L. A. da Silva Cruz
semanticscholar +1 more source
Optimization of Fully Convolutional Network for Road Safety Attribute Detection
, 2021 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.
Sanjeewani, Pubudu +5 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Fully convolutional network (FCN), which has excellent capability for capturing spatial context, was introduced to improve the performance of hyperspectral image classification (HSIC).
Xueliang Zhang +4 more
doaj +1 more source
Fully Convolutional Network Based Ship Plate Recognition [PDF]
, 2018 Ship plate recognition is challenging due to variations of plate locations and text types. This paper proposes an effcient Fully Convolutional Network based Plate Recognition approach FCNPR, which uses a CNN (Convolutional Neural Network) to locate ships,
Zhou, Jiehan +11 more
core +1 more source
An automatic skin lesion segmentation system with hybrid FCN-ResAlexNet
Engineering Science and Technology, an International Journal, 2022 Skin cancer is a serious global health concern with high morbidity and mortality rates. Therefore, computer-aided automatic diagnostic systems are essential to diagnose skin lesions successfully.
Sezin Barın, Gür Emre Güraksın
doaj +1 more source
Shelf Commodity Identification Method Based on Hybrid Fully Convolutional Automatic Encoder
IEEE Access, 2019 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
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The consistent and long-term spaceborne synthetic aperture radar (SAR) missions such as Sentinel-1 (S-1) provide high-quality dual-polarized $C$-band images particularly suited to sea ice monitoring.
I. de Gélis +2 more
semanticscholar +1 more source
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles [PDF]
, 2021 In this study, we proposed and validated a multi-atlas guided 3D fully convolutional network (FCN) ensemble model (M-FCN) for segmenting brain regions of interest (ROIs) from structural magnetic resonance images (MRIs).
Tang, Xiaoying +3 more
core +1 more source
Lithological Mapping Based on Fully Convolutional Network and Multi-Source Geological Data
Remote Sensing, 2021 Deep learning algorithms have found numerous applications in the field of geological mapping to assist in mineral exploration and benefit from capabilities such as high-dimensional feature learning and processing through multi-layer networks.
Zi-Ye Wang, R. Zuo, Hao Liu
semanticscholar +1 more source