AIMC Topic: Data Compression

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DTLR-CS: Deep tensor low rank channel cross fusion neural network for reproductive cell segmentation.

PloS one Nov 30, 2023
In recent years, with the development of deep learning technology, deep neural networks have been widely used in the field of medical image segmentation. U-shaped Network(U-Net) is a segmentation network proposed for medical images based on full-conv...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Reproduction Data Compression Semantic Differential
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Corruption depth: Analysis of DNN depth for misclassification.

Neural networks : the official journal of the International Neural Network Society Nov 20, 2023
Many large and complex deep neural networks have been shown to provide higher performance on various computer vision tasks. However, very little is known about the relationship between the complexity of the input data along with the type of noise and...
Neural Networks, Computer Attention Data Compression
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Tree-Structured Data Clustering-Driven Neural Network for Intra Prediction in Video Coding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 23, 2023
Intra prediction is a crucial part of video compression, which utilizes local information in images to eliminate spatial redundancy. As the state-of-the-art video coding standard, Versatile Video Coding (H.266/VVC) employs multiple directional predic...
Neural Networks, Computer Cluster Analysis Data Compression
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High-throughput deep learning variant effect prediction with Sequence UNET.

Genome biology May 9, 2023
Understanding coding mutations is important for many applications in biology and medicine but the vast mutation space makes comprehensive experimental characterisation impossible. Current predictors are often computationally intensive and difficult t...
Deep Learning Proteomics Mutation Data Compression
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Image Classification Based on Light Convolutional Neural Network Using Pulse Couple Neural Network.

Computational intelligence and neuroscience Mar 14, 2023
Recently, most image classification studies solicit the intervention of convolutional neural networks because these DL-based classification methods generally outperform other methodologies with higher accuracy. However, this type of deep learning net...
Neural Networks, Computer Data Compression
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Feature flow regularization: Improving structured sparsity in deep neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2023
Pruning is a model compression method that removes redundant parameters and accelerates the inference speed of deep neural networks (DNNs) while maintaining accuracy. Most available pruning methods impose various conditions on parameters or features ...
Neural Networks, Computer Data Compression
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Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis.

Artificial intelligence in medicine Jan 21, 2023
OBJECTIVE: High-resolution ultrasound is an emerging tool for diagnosing carpal tunnel syndrome caused by the compression of the median nerve at the wrist. This systematic review and meta-analysis aimed to explore and summarize the performance of dee...
Humans Algorithms Deep Learning Median Nerve Data Compression Carpal Tunnel Syndrome
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Deep Learning-Based Adaptive Compression and Anomaly Detection for Smart B5G Use Cases Operation.

Sensors (Basel, Switzerland) Jan 16, 2023
The evolution towards next-generation Beyond 5G (B5G) networks will require not only innovation in transport technologies but also the adoption of smarter, more efficient operations of the use cases that are foreseen to be the high consumers of netwo...
Data Analysis Deep Learning Benchmarking Data Compression Physical Phenomena
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An application of deep dual convolutional neural network for enhanced medical image denoising.

Medical & biological engineering & computing Jan 14, 2023
This work investigates the medical image denoising (MID) application of the dual denoising network (DudeNet) model for chest X-ray (CXR). The DudeNet model comprises four components: a feature extraction block with a sparse mechanism, an enhancement ...
Neural Networks, Computer Image Processing, Computer-Assisted Image Enhancement Signal-To-Noise Ratio Normal Distribution Data Compression
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A Hardware-Friendly High-Precision CNN Pruning Method and Its FPGA Implementation.

Sensors (Basel, Switzerland) Jan 11, 2023
To address the problems of large storage requirements, computational pressure, untimely data supply of off-chip memory, and low computational efficiency during hardware deployment due to the large number of convolutional neural network (CNN) paramete...
Neural Networks, Computer Algorithms Computers Data Compression
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