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Deep Learning - AI Medical Compendium

AIMC Topic: Deep Learning

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Exploring Feasibility of Multivariate Deep Learning Models in Predicting COVID-19 Epidemic.

Frontiers in public health Jul 5, 2021
Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially challenging t...
China Feasibility Studies COVID-19 SARS-CoV-2 Deep Learning Humans Pandemics
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Asbestos Detection with Fluorescence Microscopy Images and Deep Learning.

Sensors (Basel, Switzerland) Jul 4, 2021
Fluorescent probes can be used to detect various types of asbestos (serpentine and amphibole groups); however, the fiber counting using our previously developed software was not accurate for samples with low fiber concentration. Machine learning-base...
Microscopy, Fluorescence Asbestos Asbestos, Serpentine Deep Learning Image Processing, Computer-Assisted United States
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3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279).

International journal of radiation oncology, biology, physics Jul 3, 2021
PURPOSE: To develop and validate a pretreatment computed tomography (CT)-based deep-learning (DL) model for predicting the treatment response to concurrent chemoradiation therapy (CCRT) among patients with locally advanced thoracic esophageal squamou...
Deep Learning Esophageal Neoplasms Chemoradiotherapy Esophageal Squamous Cell Carcinoma Humans Prospective Studies Retrospective Studies
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Surveillance of ship emissions and fuel sulfur content based on imaging detection and multi-task deep learning.

Environmental pollution (Barking, Essex : 1987) Jul 3, 2021
Shipping makes up the major proportion of global transportation and results in an increasing emission of air pollutants. It accounts for 3.1%, 13%, and 15% of the annual global emissions of CO, SO, and NO, respectively. Hence, effective regulatory me...
Deep Learning Ships Vehicle Emissions Sulfur Environmental Monitoring Air Pollutants Particulate Matter
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Deep-Learning-Driven Full-Waveform Inversion for Ultrasound Breast Imaging.

Sensors (Basel, Switzerland) Jul 3, 2021
Ultrasound breast imaging is a promising alternative to conventional mammography because it does not expose women to harmful ionising radiation and it can successfully image dense breast tissue. However, conventional ultrasound imaging only provides ...
Humans Female Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Mammography Ultrasonography, Mammary Phantoms, Imaging Breast Density
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Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer Learning.

Computational and mathematical methods in medicine Jul 3, 2021
With the continuous improvement of human living standards, dietary habits are constantly changing, which brings various bowel problems. Among them, the morbidity and mortality rates of colorectal cancer have maintained a significant upward trend. In ...
Deep Learning Computational Biology Artificial Intelligence Colonic Polyps Colorectal Neoplasms Image Interpretation, Computer-Assisted Humans Colonoscopy Neural Networks, Computer
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Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images.

Ophthalmology. Retina Jul 2, 2021
OBJECTIVE: Diseases such as age-related macular degeneration (AMD) are classified based on human rubrics that are prone to bias. Supervised neural networks trained using human-generated labels require labor-intensive annotations and are restricted to...
Aged, 80 and over Male Middle Aged Female Reproducibility of Results Aged Tomography, Optical Coherence Fundus Oculi Retina Severity of Illness Index Deep Learning Follow-Up Studies Humans Neural Networks, Computer Algorithms Prospective Studies Macular Degeneration Fluorescein Angiography
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Deep learning for categorization of endodontic lesion based on radiographic periapical index scoring system.

Clinical oral investigations Jul 2, 2021
OBJECTIVE: The study aimed to apply convolutional neural network (CNN) to score periapical lesion on an intraoral periapical radiograph (IOPAR) based on the periapical index (PAI) scoring system.
Deep Learning Predictive Value of Tests Radiography
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Convolutional neural networks for cytoarchitectonic brain mapping at large scale.

NeuroImage Jul 2, 2021
Human brain atlases provide spatial reference systems for data characterizing brain organization at different levels, coming from different brains. Cytoarchitecture is a basic principle of the microstructural organization of the brain, as regional di...
Brain Mapping Histological Techniques Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Databases, Factual Brain Humans Neural Networks, Computer
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A deep look into radiomics.

La Radiologia medica Jul 2, 2021
Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into ...
Algorithms Data Mining Precision Medicine Image Interpretation, Computer-Assisted Prognosis Medical Oncology Neoplasms Genomics Neuroimaging Deep Learning Diagnostic Imaging Radiology Information Systems Consensus Workflow Database Management Systems Humans Neural Networks, Computer Machine Learning Data Analysis
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