Results 101 to 110 of about 6,093,681 (207)

Efficient Symmetry-driven Fully Convolutional Network for Multimodal Brain Tumor Segmentation [PDF]

, 2017
In this paper, we present a novel and efficient method for brain tumor (and sub regions) segmentation in multimodal MR images based on a fully convolutional network (FCN) that enables end-to-end training and fast inference.
Zheng, Weishi, Haocheng Shen, Zhang, Jianguo, Weishi Zheng, Jianguo Zhang, Shen, Haocheng   +5 more
core   +1 more source

Multi-phase level set algorithm based on fully convolutional networks (FCN-MLS) for retinal layer segmentation in SD-OCT images with central serous chorioretinopathy (CSC)

Biomedical Optics Express, 2019
As a function of the spatial position of the optical coherence tomography (OCT) image, retinal layer thickness is an important diagnostic indicator for many retinal diseases. Reliable segmentation of the retinal layer is necessary for extracting useful clinical information.
Yanan, Ruan, Jie, Xue, Tianlai, Li, Danhua, Liu, Hua, Lu, Meirong, Chen, Tingting, Liu, Sijie, Niu, Dengwang, Li   +8 more
openaire   +2 more sources

Fully Automated 3D Segmentation of MR-Imaged Calf Muscle Compartments: Neighborhood Relationship Enhanced Fully Convolutional Network

, 2021
Automated segmentation of individual calf muscle compartments from 3D magnetic resonance (MR) images is essential for developing quantitative biomarkers for muscular disease progression and its prediction.
Chen, Zhi, van der Plas, Ellen, Guo, Zhihui, Nopoulos, Peggy, Zhang, Honghai, Sonka, Milan, Gutmann, Laurie, Thedens, Daniel   +7 more
core   +1 more source

Segmentasi Tumor Otak Pada Citra Mri Menggunakan Fully Convolutional Network [PDF]

, 2019
Tumor otak adalah pertumbuhan jaringan abnormal pada sel-sel otak yang terus tumbuh dan berlipat ganda tanpa ter¬kendali. Deteksi tumor otak dapat dilakukan dengan pemeriksaan laboratorium dan pemeriksaan radiologis.
Azmi, Taufik
core  

A method of multifeatured full convolutionalneural network based on speech enhancement in airground voice communication

四川大学学报. 自然科学版, 2020
In order to study speech enhancement in the air traffic control (ATC) and save storage resources, a new speech enhancement method is proposed. Based on Fully Convolutional Networks (FCN), Skip connection is added and secondary features are introduced for
Gao dengfeng, YangBo, YangHongyu, LiuHong   +3 more
doaj  

Fully Convolutional Network-Based Multifocus Image Fusion

, 2018
As the optical lenses for cameras always have limited depth of field, the captured images with the same scene are not all in focus. Multifocus image fusion is an efficient technology that can synthesize an all-in-focus image using several partially ...
Jinde Cao, Xiaopeng Guo, Dongming Zhou, Rencan Nie, Wenhua Qian   +4 more
core   +1 more source

Inpatient Length of Stay and Mortality Prediction Utilizing Clinical Time Series Data

IEEE Access
Electronic Health Records (EHRs), which include demographic information, clinical notes, vital signs, laboratory test results, and others, provide rich information for clinical outcome prediction.
Junde Chen, Mason Li, Miles Milosevich, Tiffany Le, Andrew Bahsoun, Yuxin Wen   +5 more
doaj   +1 more source

A new road extraction method using Sentinel-1 SAR images based on the deep fully convolutional neural network

European Journal of Remote Sensing, 2019
There is a pressing need for an automatic road extraction method due to the continuous development of transportation networks. Free from the influence of weather, satellite-mounted synthetic-aperture radar (SAR) opens the way for such a road detection ...
Qianqian Zhang, Qingling Kong, Chao Zhang, Shucheng You, Hai Wei, Ruizhi Sun, Li Li   +6 more
doaj   +1 more source

Automatic Raft Labeling for Remote Sensing Images via Dual-Scale Homogeneous Convolutional Neural Network

Remote Sensing, 2018
Raft-culture is a way of utilizing water for farming aquatic product. Automatic raft-culture monitoring by remote sensing technique is an important way to control the crop’s growth and implement effective management.
Tianyang Shi, Qizhi Xu, Zhengxia Zou, Zhenwei Shi   +3 more
doaj   +1 more source

Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation

, 2016
International audienceIn this paper we introduce a new method for extracting deformable clothing items from still images by extending the output of a Fully Convolutional Neural Network (FCN) to infer context from local units (superpixels).
Yang, Lixuan, Rodriguez, Helena, Marin Ferecatu, Crucianu, Michel, Michel Crucianu, Helena Rodriguez, Ferecatu, Marin, Lixuan Yang   +7 more
core   +1 more source