AIMC Topic: Pattern Recognition, Automated

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Application of local fully Convolutional Neural Network combined with YOLO v5 algorithm in small target detection of remote sensing image.

PloS one Oct 29, 2021
This exploration primarily aims to jointly apply the local FCN (fully convolution neural network) and YOLO-v5 (You Only Look Once-v5) to the detection of small targets in remote sensing images. Firstly, the application effects of R-CNN (Region-Convol...
Satellite Imagery Neural Networks, Computer Pattern Recognition, Automated
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Laplacian Pyramid Neural Network for Dense Continuous-Value Regression for Complex Scenes.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Many computer vision tasks, such as monocular depth estimation and height estimation from a satellite orthophoto, have a common underlying goal, which is regression of dense continuous values for the pixels given a single image. We define them as den...
Neural Networks, Computer Deep Learning Humans Image Processing, Computer-Assisted Pattern Recognition, Automated
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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, especially with the advent of deep learning (DL). Along with research pro...
Humans Neural Networks, Computer Artificial Intelligence Image Processing, Computer-Assisted Pattern Recognition, Automated Machine Learning Surveys and Questionnaires
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Incremental Unsupervised Domain-Adversarial Training of Neural Networks.

IEEE transactions on neural networks and learning systems Oct 27, 2021
In the context of supervised statistical learning, it is typically assumed that the training set comes from the same distribution that draws the test samples. When this is not the case, the behavior of the learned model is unpredictable and becomes d...
Humans Neural Networks, Computer Unsupervised Machine Learning Algorithms Pattern Recognition, Automated
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Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks.

IEEE transactions on neural networks and learning systems Oct 27, 2021
While most deep learning architectures are built on convolution, alternative foundations such as morphology are being explored for purposes such as interpretability and its connection to the analysis and processing of geometric structures. The morpho...
Algorithms Deep Learning Pattern Recognition, Automated Humans Neural Networks, Computer
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A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Conventional artificial neural network (ANN) learning algorithms for classification tasks, either derivative-based optimization algorithms or derivative-free optimization algorithms work by training ANN first (or training and validating ANN) and then...
Algorithms Supervised Machine Learning Humans Pattern Recognition, Automated Neural Networks, Computer
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Automated segmentation by deep learning of loose connective tissue fibers to define safe dissection planes in robot-assisted gastrectomy.

Scientific reports Oct 27, 2021
The prediction of anatomical structures within the surgical field by artificial intelligence (AI) is expected to support surgeons' experience and cognitive skills. We aimed to develop a deep-learning model to automatically segment loose connective ti...
Humans Sensitivity and Specificity Image Processing, Computer-Assisted Robotic Surgical Procedures Deep Learning Connective Tissue Gastrectomy Pattern Recognition, Automated
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Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning.

Scientific reports Oct 13, 2021
In cytological examination, suspicious cells are evaluated regarding malignancy and cancer type. To assist this, we previously proposed an automated method based on supervised learning that classifies cells in lung cytological images as benign or mal...
Chromatin Image Interpretation, Computer-Assisted Medical Informatics Thorax Retrospective Studies Small Cell Lung Carcinoma Carcinoma, Squamous Cell Pattern Recognition, Automated Lung Reproducibility of Results Adenocarcinoma Deep Learning Humans Supervised Machine Learning Image Processing, Computer-Assisted Neural Networks, Computer Lung Neoplasms
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A Master-Slave Binary Grey Wolf Optimizer for Optimal Feature Selection in Biomedical Data Classification.

BioMed research international Oct 12, 2021
A new master-slave binary grey wolf optimizer (MSBGWO) is introduced. A master-slave learning scheme is introduced to the grey wolf optimizer (GWO) to improve its ability to explore and get better solutions in a search space. Five high-dimensional bi...
Medical Informatics Machine Learning Pattern Recognition, Automated Algorithms Male Computer Simulation Humans Neoplasms Databases, Factual Female
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SMBFT: A Modified Fuzzy -Means Algorithm for Superpixel Generation.

Computational and mathematical methods in medicine Oct 8, 2021
Most traditional superpixel segmentation methods used binary logic to generate superpixels for natural images. When these methods are used for images with significantly fuzzy characteristics, the boundary pixels sometimes cannot be correctly classifi...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Magnetic Resonance Imaging Fuzzy Logic Brain Image Processing, Computer-Assisted Computational Biology Humans Algorithms
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