AIMC Topic: Pattern Recognition, Automated

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An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.

Medical physics May 9, 2018
PURPOSE: To develop and evaluate a new automatic classification algorithm to identify voxels containing skin, vasculature, adipose, and fibroglandular tissue in dedicated breast CT images.
Skin Breast Pattern Recognition, Automated Cluster Analysis Unsupervised Machine Learning Adipose Tissue Mammography Humans Tomography, X-Ray Computed
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Machine learning in chemoinformatics and drug discovery.

Drug discovery today May 8, 2018
Chemoinformatics is an established discipline focusing on extracting, processing and extrapolating meaningful data from chemical structures. With the rapid explosion of chemical 'big' data from HTS and combinatorial synthesis, machine learning has be...
High-Throughput Screening Assays Pattern Recognition, Automated Quantitative Structure-Activity Relationship Informatics Drug Discovery Molecular Structure Pharmaceutical Preparations Diffusion of Innovation Humans Machine Learning Animals
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Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images.

Medical physics May 3, 2018
PURPOSE: Manual contouring of gross tumor volumes (GTV) is a crucial and time-consuming process in rectum cancer radiotherapy. This study aims to develop a simple deep learning-based autosegmentation algorithm to segment rectal tumors on T2-weighted ...
Humans Rectal Neoplasms Tumor Burden Image Interpretation, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Machine Learning Magnetic Resonance Imaging Rectum
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Lung sounds classification using convolutional neural networks.

Artificial intelligence in medicine May 1, 2018
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate patients with pulmonary conditions, the physician or the doctor uses the traditional auscultation technique. However, this technique suffers from limitations. For...
Reproducibility of Results Aged Adult Male Humans Prognosis Female Infant, Newborn Lung Diseases Child Auscultation Middle Aged Acoustics Support Vector Machine Respiratory Sounds Lung Sound Spectrography Predictive Value of Tests Deep Learning Pattern Recognition, Automated Signal Processing, Computer-Assisted Adolescent
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Small lung nodules detection based on local variance analysis and probabilistic neural network.

Computer methods and programs in biomedicine Apr 28, 2018
BACKGROUND AND OBJECTIVE: In medical examinations doctors use various techniques in order to provide to the patients an accurate analysis of their actual state of health. One of the commonly used methodologies is the x-ray screening. This examination...
False Positive Reactions X-Rays Radiographic Image Enhancement Medical Errors Radiographic Image Interpretation, Computer-Assisted Carcinoma Probability Pattern Recognition, Automated Lung Algorithms Image Processing, Computer-Assisted Databases, Factual Lung Neoplasms Humans Reproducibility of Results Solitary Pulmonary Nodule Sensitivity and Specificity Neural Networks, Computer
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Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.

Computers in biology and medicine Apr 27, 2018
A large amount of digital image material is routinely captured during esophagogastroduodenoscopies but, for the most part, is not used for confirming the diagnosis process of celiac disease which is primarily based on histological examination of biop...
Humans Neural Networks, Computer Machine Learning Algorithms Observer Variation Automation Pattern Recognition, Automated Gastroscopy Celiac Disease Duodenum Endoscopy Decision Making Diagnosis, Computer-Assisted Biopsy Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted
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MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.

Artificial intelligence in medicine Apr 26, 2018
MOTIVATION: Identifying carcinoma subtype can help to select appropriate treatment options and determining the subtype of benign lesions can be beneficial to estimate the patients' risk of developing cancer in the future. Pathologists' assessment of ...
Microscopy Image Interpretation, Computer-Assisted Pattern Recognition, Automated Eosine Yellowish-(YS) Hematoxylin Staining and Labeling Predictive Value of Tests Biopsy Coloring Agents Humans Reproducibility of Results Databases, Factual Breast Neoplasms Female Deep Learning
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Strabismus Recognition Using Eye-Tracking Data and Convolutional Neural Networks.

Journal of healthcare engineering Apr 26, 2018
Strabismus is one of the most common vision diseases that would cause amblyopia and even permanent vision loss. Timely diagnosis is crucial for well treating strabismus. In contrast to manual diagnosis, automatic recognition can significantly reduce ...
Male Middle Aged Databases, Factual Diagnosis, Computer-Assisted Humans Computer Simulation User-Computer Interface Eye Movements Neural Networks, Computer Strabismus Female Algorithms Pattern Recognition, Automated Adult Amblyopia
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Constructing Temporally Extended Actions through Incremental Community Detection.

Computational intelligence and neuroscience Apr 23, 2018
Hierarchical reinforcement learning works on temporally extended actions or skills to facilitate learning. How to automatically form such abstraction is challenging, and many efforts tackle this issue in the options framework. While various approache...
Machine Learning Pattern Recognition, Automated Reinforcement, Psychology
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Recurrent Shape Regression.

IEEE transactions on pattern analysis and machine intelligence Apr 19, 2018
An end-to-end network architecture, the Recurrent Shape Regression (RSR), is presented to deal with the task of facial shape detection, a crucial step in many computer vision problems. The RSR generalizes the conventional cascaded regression into a r...
Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted Regression Analysis Face Pattern Recognition, Automated Humans
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