AIMC Topic: Unsupervised Machine Learning

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Unsupervised Learning with Generative Adversarial Network for Automatic Tire Defect Detection from X-ray Images.

Sensors (Basel, Switzerland) Oct 12, 2021
Automatic defect detection of tire has become an essential issue in the tire industry. However, it is challenging to inspect the inner structure of tire by surface detection. Therefore, an X-ray image sensor is used for tire defect inspection. At pre...
Humans Radiography X-Rays Unsupervised Machine Learning
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Few-Shot Breast Cancer Metastases Classification via Unsupervised Cell Ranking.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Tumor metastases detection is of great importance for the treatment of breast cancer patients. Various CNN (convolutional neural network) based methods get excellent performance in object detection/segmentation. However, the detection of metastases i...
Humans Female Breast Neoplasms Lymph Nodes Neural Networks, Computer Algorithms Histocytochemistry Image Interpretation, Computer-Assisted Neoplasm Metastasis Unsupervised Machine Learning Cell Count
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DeepCellState: An autoencoder-based framework for predicting cell type specific transcriptional states induced by drug treatment.

PLoS computational biology Oct 5, 2021
Drug treatment induces cell type specific transcriptional programs, and as the number of combinations of drugs and cell types grows, the cost for exhaustive screens measuring the transcriptional drug response becomes intractable. We developed DeepCel...
Transcriptome Deep Learning Humans Antineoplastic Agents MCF-7 Cells Computational Biology Gene Knockdown Techniques Unsupervised Machine Learning PC-3 Cells
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Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool.

Sensors (Basel, Switzerland) Sep 23, 2021
Seismic interpretation is a fundamental process for hydrocarbon exploration. This activity comprises identifying geological information through the processing and analysis of seismic data represented by different attributes. The interpretation proces...
Humans Algorithms Cluster Analysis Unsupervised Machine Learning
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Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.

PLoS computational biology Sep 22, 2021
Recent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting in an increased need for comput...
Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Unsupervised Machine Learning Supervised Machine Learning Computational Biology Video Recording Models, Statistical Behavior, Animal Markov Chains Animals Mice
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Combining Supervised and Unsupervised Learning Algorithms for Human Activity Recognition.

Sensors (Basel, Switzerland) Sep 21, 2021
Human activity recognition is an extensively researched topic in the last decade. Recent methods employ supervised and unsupervised deep learning techniques in which spatial and temporal dependency is modeled. This paper proposes a novel approach for...
Humans Unsupervised Machine Learning Algorithms Neural Networks, Computer Cluster Analysis Human Activities
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An Unsupervised Learning-Based Multi-Organ Registration Method for 3D Abdominal CT Images.

Sensors (Basel, Switzerland) Sep 18, 2021
Medical image registration is an essential technique to achieve spatial consistency geometric positions of different medical images obtained from single- or multi-sensor, such as computed tomography (CT), magnetic resonance (MR), and ultrasound (US) ...
Tomography, X-Ray Computed Unsupervised Machine Learning Imaging, Three-Dimensional Ultrasonography Image Processing, Computer-Assisted
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Improved Self-Organizing Map-Based Unsupervised Learning Algorithm for Sitting Posture Recognition System.

Sensors (Basel, Switzerland) Sep 17, 2021
As the intensity of work increases, many of us sit for long hours while working in the office. It is not easy to sit properly at work all the time and sitting for a long time with wrong postures may cause a series of health problems as time goes by. ...
Unsupervised Machine Learning Sitting Position Algorithms Posture Humans Neural Networks, Computer
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Radiomics analysis combining unsupervised learning and handcrafted features: A multiple-disease study.

Medical physics Sep 10, 2021
PURPOSE: To study and investigate the synergistic benefit of incorporating both conventional handcrafted and learning-based features in disease identification across a wide range of clinical setups.
Unsupervised Machine Learning Lymphatic Metastasis Magnetic Resonance Imaging Humans Retrospective Studies Tomography, X-Ray Computed
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Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning.

Journal of applied clinical medical physics Sep 10, 2021
PURPOSE: The deformable registration of 3D chest computed tomography (CT) images is one of the most important tasks in the field of medical image registration. However, the nonlinear deformation and large-scale displacement of lung tissues caused by ...
Unsupervised Machine Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed
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