Results 31 to 40 of about 6,849,681 (296)

Klasifikasi Penyakit Mata Menggunakan Convolutional Neural Network (CNN)

Sistemasi: Jurnal Sistem Informasi, 2021
Abstrak Gangguan pada mata atau disebut juga penyakit mata adalah suatu kondisi yang mampu mempengaruhi jangka waktu hidup bagi sebagian orang. Gangguan mata atau penyakit mata banyak sekali jenisnya, diantaranya yaitu katarak, glaukoma dan retina ...
Fani Nurona Cahya, Nila Hardi, Dwiza Riana, sri hadiyanti   +3 more
doaj   +1 more source

Document Image Binarization with Fully Convolutional Neural Networks [PDF]

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
Binarization of degraded historical manuscript images is an important pre-processing step for many document processing tasks. We formulate binarization as a pixel classification learning task and apply a novel Fully Convolutional Network (FCN) architecture that operates at multiple image scales, including full resolution. The FCN is trained to optimize
Chris Tensmeyer, Tony R. Martinez
openaire   +2 more sources

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

Research on Ship Trajectory Classification Based on a Deep Convolutional Neural Network

Journal of Marine Science and Engineering, 2022
With the aim of solving the problems of ship trajectory classification and channel identification, a ship trajectory classification method based on deep a convolutional neural network is proposed.
Tao Guo, Lei Xie
doaj   +1 more source

Microaneurysm detection using fully convolutional neural networks [PDF]

Computer Methods and Programs in Biomedicine, 2018
Diabetic retinopathy is a microvascular complication of diabetes that can lead to sight loss if treated not early enough. Microaneurysms are the earliest clinical signs of diabetic retinopathy. This paper presents an automatic method for detecting microaneurysms in fundus photographies.A novel patch-based fully convolutional neural network with batch ...
Piotr Chudzik, Somshubra Majumdar, Francesco Calivá, Bashir Al-Diri, Andrew Hunter   +4 more
openaire   +4 more sources

Optimasi Convolutional Neural Network dan K-Fold Cross Validation pada Sistem Klasifikasi Glaukoma

Jurnal Elkomika, 2022
ABSTRAK Pada penelitian ini dilakukan perancangan arsitektur Convolutional Neural Network (CNN) yang terdiri dari 5 layer konvolusi dan 1-fully connected layer untuk mengklasifikasikan citra fundus kedalam kondisi normal, early, moderate, deep, dan ...
YUNENDAH NUR FUADAH, IBNU DAWAN UBAIDULLAH, NUR IBRAHIM, FAUZI FRAHMA TALININGSING, NIDAAN KHOFIYA SY, MUHAMMAD ADNAN PRAMUDITHO   +5 more
doaj   +1 more source

Fully Convolutional Neural Networks for Crowd Segmentation

CoRR, 2014
In this paper, we propose a fast fully convolutional neural network (FCNN) for crowd segmentation. By replacing the fully connected layers in CNN with 1 by 1 convolution kernels, FCNN takes whole images as inputs and directly outputs segmentation maps by one pass of forward propagation.
Kai Kang, Xiaogang Wang
openaire   +2 more sources

Fully Convolutional Graph Neural Networks for Parametric Virtual Try‐On [PDF]

Computer Graphics Forum, 2020
AbstractWe present a learning‐based approach for virtual try‐on applications based on a fully convolutional graph neural network. In contrast to existing data‐driven models, which are trained for a specific garment or mesh topology, our fully convolutional model can cope with a large family of garments, represented as parametric predefined 2D panels ...
Raquel Vidaurre, Igor Santesteban, Elena Garces 0001, Dan Casas   +3 more
openaire   +4 more sources

LSTM Fully Convolutional Networks for Time Series Classification

IEEE Access, 2018
Fully convolutional neural networks (FCNs) have been shown to achieve the state-of-the-art performance on the task of classifying time series sequences.
Fazle Karim, Somshubra Majumdar, Houshang Darabi, Shun Chen   +3 more
doaj   +1 more source

RGB-D salient object detection via convolutional capsule network based on feature extraction and integration

Scientific Reports, 2023
Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an object-part dilemma since most fully convolutional neural network inevitably leads to an incomplete ...
Kun Xu, Jichang Guo
doaj   +1 more source