Apparatus and method for medical image reconstruction using deep learning for computed tomography (CT) image noise and artifacts reduction
Amethod and apparatus is provided that uses a deep learning (DL) network to reduce noise
and artifacts in reconstructed medical images, such as images generated using computed …
and artifacts in reconstructed medical images, such as images generated using computed …
Medical image processing apparatus and medical image processing system
A medical image processing apparatus according to an embodiment comprises a memory
and processing circuitry. The memory is configured to store a plurality of neural networks …
and processing circuitry. The memory is configured to store a plurality of neural networks …
Medical image processing apparatus having a plurality of neural networks corresponding to different fields of view
J Zhou, Z Yu, Y Liu - US Patent 11,847,761, 2023 - Google Patents
A medical image processing apparatus according to an embodiment comprises a memory
and processing circuitry. The memory is configured to store a plurality of neural networks …
and processing circuitry. The memory is configured to store a plurality of neural networks …
Robust phoneme recognition using MLP neural networks in various domains of MFCC features
This paper focuses on enhancing MFCC features using a set of MLP NN in order to improve
phoneme recognition accuracy under different noise types and SNRs. A NN can be used in …
phoneme recognition accuracy under different noise types and SNRs. A NN can be used in …
Incremental extreme learning machine based on cascade neural networks
Y Wan, S Song, G Huang - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
This paper extends extreme learning machine (ELM) for multi-layer cascade neural
networks. We reformulate the cascade neural networks as a linear-in-the-parameters model …
networks. We reformulate the cascade neural networks as a linear-in-the-parameters model …
A note on computational intelligence methods in biometrics
Q **ao - International Journal of Biometrics, 2012 - inderscienceonline.com
The research field of biometrics encompasses a wide range of disciplines such as signal
processing, pattern recognition, classification, and decision making. Although various …
processing, pattern recognition, classification, and decision making. Although various …
A comparative analysis of different methods for predicting speech in a noisy signal
A noisy speech signal is very difficult to decipher. The noise can be removed or the signal
component can be enhanced using different speech processing algorithms. Alternatively …
component can be enhanced using different speech processing algorithms. Alternatively …
[PDF][PDF] Parameter optimization of evolving spiking neural network with dynamic population particle swarm optimization
M Said, N Nadiah - 2018 - eprints.utm.my
ABSTRACT Evolving Spiking Neural Network (ESNN) is widely used in classification
problem. However, ESNN like any other neural networks is incapable to find its own …
problem. However, ESNN like any other neural networks is incapable to find its own …
Estudio de integración de clasificadores de rasgos fonéticos para la mejora de sistemas de reconocimiento de gran vocabulario
C Villalta Pérez, A Miguel Artiaga - zaguan.unizar.es
En los sistemas de inteligencia ambiental una parte fundamental la constituye el interfaz
hombre-máquina, y dentro de éste, la interacción oral en ambos sentidos, de la que forman …
hombre-máquina, y dentro de éste, la interacción oral en ambos sentidos, de la que forman …
[PDF][PDF] PROYECTO FIN DE CARRERA INGENIERÍA DE TELECOMUNICACIÓN ESPECIALIDAD: COMUNICACIONES JULIO 2011
CV PÉREZ - 2011 - core.ac.uk
En los sistemas de inteligencia ambiental una parte fundamental la constituye el interfaz
hombre-máquina, y dentro de éste, la interacción oral en ambos sentidos, de la que forman …
hombre-máquina, y dentro de éste, la interacción oral en ambos sentidos, de la que forman …