Results 41 to 50 of about 20,298 (224)

Comparative analysis of FCN and U-Net results.

, 2022
Comparative analysis of FCN and U-Net results.
Anwaar Ulhaq (9865449), Warda Asim (13162829), Asim Khan (1416178), Randall W. Robinson (7537547)   +3 more
core   +1 more source

FCN architectures.

, 2019
The input image is downsampled by max pooling layers, getting coarser from layer to layer. In the FCN 32s, the output of the last pooling layer is upsampled by factor 32 in a single step.
Jürgen Wallner (3850843), Peter M. Roth (6425150), Jan Egger (294862), Christina Gsaxner (6425147)   +3 more
core   +1 more source

Automatic design and 3D segmentation of mandible bone using CNN algorithm via exclusive GUI [PDF]

International Journal of Biophotonics and Biomedical Engineering
Nowadays scientists are looking for decreasing dental faults by presenting new approaches.It is obvious that comprehensive information about the anatomic position of the inferior alveolar neuralcanal is essential to have the most ideal mandible surgery ...
Nadia MehradKia, Shakiba Mohammadi, Sayedali Mousavi   +2 more
doaj   +1 more source

FCN+: Global Receptive Convolution Makes FCN Great Again

, 2023
Fully convolutional network (FCN) is a seminal work for semantic segmentation. However, due to its limited receptive field, FCN cannot effectively capture global context information which is vital for semantic segmentation.
Ye, Jin, Qiao, Yu, Deng, Zhongying, Ren, Xiaoyu, He, Junjun   +4 more
core  

At-Home Foscarnet Administration in Patients with Cytomegalovirus Infection Post-Allogeneic Stem Cell Transplantation: A Unicentric, Safe, and Feasible Program

Pharmaceuticals, 2023
Cytomegalovirus (CMV) infection is a relevant cause of morbimortality in patients receiving allogeneic stem cell transplantation (allo-HCT). Foscarnet (FCN) is an effective drug against CMV administered intravenously and usually on an inpatient basis ...
Sonia Ruiz-Boy, Alexandra Pedraza, Marta Prat, Maria Queralt Salas, Esther Carcelero, Gisela Riu-Viladoms, María Suárez-Lledó, Inés Monge-Escartín, Luis Gerardo Rodríguez-Lobato, Alexandra Martínez-Roca, Montserrat Rovira, Carmen Martínez, Cristina Gallego, Álvaro Urbano-Ispizua, Joan Sánchez, María Ángeles Marcos, Francesc Fernández-Avilés   +16 more
doaj   +1 more source

Bending Of Adsorbed FCN And FNC Molecules Induced By The Renner-Teller Effect

Annals of West University of Timisoara: Physics, 2012
It is shown that the bending of FCN and FNC molecules adsorbed on Si (100) - (2 × 1) surface, is due to the Renner-Teller effect induced by the orbital charge transfers by adsorption.
Gorinchoy Natalia
doaj   +1 more source

Primera aproximación al consumo doméstico de fauna en ocupaciones rurales del sur de Pozuelos (Puna de Jujuy, Argentina) en tiempos tardíos y coloniales (siglos XIII a XVIII)

Revista del Museo de Antropologia, 2021
El análisis comparativo de distintos conjuntos zooarqueológicos recuperados en sitios del sur de la cuenca de Pozuelos (puna de Jujuy, Argentina), con fechados que los ubican entre los siglos XIII y XVIII, nos permite reconocer algunos aspectos de las ...
Lucrecia Marina R. Torres Vega, Carlos I. Angiorama, Pablo H. Mercolli   +2 more
doaj   +1 more source

Tree Species Classification Based on ASDER and MALSTM-FCN

, 2023
Tree species classification based on multi-source remote sensing data is essential for ecological evaluation, environmental monitoring, and forest management.
Lu Xu, Hongjian Luo, Dongping Ming, Xiao Ling   +3 more
core   +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

Insights Into LSTM Fully Convolutional Networks for Time Series Classification

IEEE Access, 2019
Long short-term memory fully convolutional neural networks (LSTM-FCNs) and Attention LSTM-FCN (ALSTM-FCN) have shown to achieve the state-of-the-art performance on the task of classifying time series signals on the old University of California-Riverside (
Fazle Karim, Somshubra Majumdar, Houshang Darabi   +2 more
doaj   +1 more source