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08/13/2023
Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT Denoising
Deep learning is a very promising technique for low-dose computed tomogr...
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05/06/2023
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing
Deep learning has been applied to compressive sensing (CS) of images suc...
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03/24/2023
Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks
Gene regulatory relationships can be abstracted as a gene regulatory net...
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02/24/2023
3D PETCT Tumor Lesion Segmentation via GCN Refinement
Whole-body PET/CT scan is an important tool for diagnosing various malig...
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02/08/2023
QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data
Deep learning has been successfully applied to low-dose CT (LDCT) image ...
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11/29/2022
Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time
Noninvasive X-ray imaging of nanoscale three-dimensional objects, e.g. i...
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09/20/2022
Deep learning at the edge enables real-time streaming ptychographic imaging
Coherent microscopy techniques provide an unparalleled multi-scale view ...
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06/07/2022
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation
Nonnegative matrix factorization (NMF) has been widely used to dimension...
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06/02/2022
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Cervical cancer is the seventh most common cancer among all the cancers ...
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05/17/2022
Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation
Ultrasound-guided nerve block anesthesia (UGNB) is a high-tech visual ne...
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04/18/2022
Subspace Nonnegative Matrix Factorization for Feature Representation
Traditional nonnegative matrix factorization (NMF) learns a new feature ...
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04/18/2022
TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos
The detection of tiny objects in microscopic videos is a problematic poi...
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02/19/2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Dataset is the key of deep learning in Autism disease research. However,...
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02/18/2022
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements
With the acceleration of urbanization and living standards, microorganis...
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02/17/2022
EBHI:A New Enteroscope Biopsy Histopathological H E Image Dataset for Image Classification Evaluation
Background and purpose: Colorectal cancer has become the third most comm...
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12/22/2021
Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration
The iterative weighted shrinkage-thresholding algorithm (IWSTA) has show...
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11/27/2021
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation
Nonnegative matrix factorization (NMF) has been widely used to learn low...
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09/28/2021
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Coherent Imaging
The problem of phase retrieval, or the algorithmic recovery of lost phas...
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05/07/2021
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convo
Microorganisms play a vital role in human life. Therefore, microorganism...
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04/29/2021
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification
For deep learning methods applied to the diagnosis of gastric cancer int...
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04/13/2021
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers
In recent years, with the advancement of computer-aided diagnosis (CAD) ...
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02/24/2021
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
Cervical cancer, one of the most common fatal cancers among women, can b...
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02/21/2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
With the development of computer-aided diagnosis (CAD) and image scannin...
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02/21/2021
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification
In the Gastric Histopathology Image Classification (GHIC) tasks, which i...
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03/27/2020