Objective . Deep convolutional neural networks (CNNs) have been widely applied in medical image analysis and achieved satisfactory performances. While most... C Gao,J Cheng,Z Yang,... - IOP Publishing Ltd 被引量: 0发表: 2023年 3DMAU-Net: liver segmentation network based on 3D U-Net Accur...
A. An MLP works by passing input data through multiple layers of interconnected neurons, each layer transforming the input, learning features, and contributing to the network’s ability to make accurate predictions or classifications. Q4.What is the architecture of the Multilayer Perceptron (MLP) ne...
“broken” neural network and quantitatively analyzing the problem behind this broken network. The second part involves exploring two solutions in literature for fixing this “broken” neural network, and then subsequently implementing them to improve the performance and training of this network. In ord...
卷积神经网络(CNN)作为医学图像分割领域中U-Net基线网络的重要组成部分,其主要作用是处理局部特征信息之间的关系.而Transformer是一种能够有效强化特征信息之间的远距离依赖关系的视觉模型.目前的研究表明,结合Transformer和CNN可以在一定程度上提高医学图像分割的准确性.但是,由于医学图像的标注数据较少,而且训练Transformer模...
Liver biopsy is the reference method for the evaluation of liver cirrhosis. However, it is an invasive procedure with inherent risk. The aim of this study was to construct a new classifier based on the routine clinical markers for the prediction of HBV-induced LC. Subjects and Methods. We ...
Note that in [7], the point reconstruction is performed in two stages: 1) point upsampling via a sparse hourglass network, 2) denoising and refinement via Transformer network. For this evaluation, we propose to replace the second stage of this pipeline with various architectures (i.e., Point...
theoptimizationofthisnon-convexobjectivefunctionisoftenachievedbyback-propagation,whichisnotguar-anteedtofindaglobaloptimum.Similarly,mostoftheexistingsolutionstoMLPadaptationhavethesameobjectiveasMLPlearning,andacommonadaptationstrategyiseitherpartiallyretrainingnetworkparame-ters,oraddingaugmentative,speaker-dependent...
MLP neural network The biological nervous system inspires nonparametric and intelligent mathematical models such as artificial NNs. Many advances have been made in the use of NNs in the fields of regression, pattern recognition, classification, and prediction problems over the past 30 years11. The us...
Long short-term memory network BLSTM: Bidirectional long short-term memory network MLP: Multilayer perceptron RMSE: Root-mean-squared error References Freschi C, Ferrari V, Melfi F, Ferrari M, Mosca F, Cuschieri A (2013) Technical review of the da Vinci surgical telemanipulator. Int J...
The contribution of this study is to (1) introduce a multilayer perceptron neural network to build a discriminant model for the source discrimination of mine water under the Keras framework based on the Python 3.6 platform and (2) to train the model parameters and to apply them to water discr...