Results 121 to 130 of about 6,343,053 (206)

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

Localization in 3D Cardiac Ultrasound Using Direction-Fused Fcn [PDF]

, 2019
\u3cp\u3eFast and accurate catheter detection in cardiac catheterization using harmless 3D ultrasound (US) can improve the efficiency and outcome of the intervention.
Yang, H., Alexander F. Kolen, Peter H.N. de With, Shan, C., Kolen, Alexander F., Caifeng Shan, de With, P.H.N., Hongxu Yang   +7 more
core   +1 more source

Improved fully convolutional network with conditional random field for building extraction [PDF]

, 2018
Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesBuilding extraction from remotely sensed imagery plays an important role in urban planning, disaster management, navigation ...
Shrestra, Sanjeevan
core  

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

Automated polyp segmentation in colonoscopy frames using fully convolutional neural network and textons

, 2017
In this paper, we presented a novel hybrid classification based method for fully automated polyp segmentation in colonoscopy video frames. It contains two main steps: initial region proposals generation and regions refinement.
Dolwani, Sunil, Xujiong Ye, Ye, Xujiong, Lei Zhang, Sunil Dolwani, Zhang, Lei   +5 more
core   +1 more source

Deformable Part-based Fully Convolutional Network for Object Detection

, 2017
Best Science PaperInternational audienceExisting region-based object detectors are limited to regions with fixed box geometry to represent objects, even if those are highly non-rectangular.
Cord, Matthieu, Thome, Nicolas, Henaff, Gilles, Mordan, Taylor   +3 more
core  

ME-FCN: A Multi-Scale Feature-Enhanced Fully Convolutional Network for Building Footprint Extraction

Remote Sensing
The precise extraction of building footprints using remote sensing technology is increasingly critical for urban planning and development amid growing urbanization.
Hui Sheng, Yaoteng Zhang, Wei Zhang, Shiqing Wei, Mingming Xu, Yasir Muhammad   +5 more
doaj   +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  

Constrained Convolutional Neural Network Models for Optimizing Fully Connected Layer Weights in CNNs [PDF]

This study proposes constrained convolutional neural network models for determining the initial connection weights in the Fully Connected Network (FCN) layer within the Convolutional Neural Network (CNN) model, resulting in an increase in the CNN model's
Çubukçu, Burakhan, Talaş, Uğur, Yüzgeç, Uğur   +2 more
core  

Automated phase recognition in the cardiac catheterization laboratory with deep learning. [PDF]

BMC Biomed Eng
Vijfvinkel TS, Frassini E, Weijenberg Y, Nikookar B, Butler RM, Constandse J, van der Elst M, Hendriks BHW, van den Dobbelsteen JJ.   +8 more
europepmc   +1 more source