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Deep Learning - AI Medical Compendium

AIMC Topic: Deep Learning

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Predicting polycyclic aromatic hydrocarbons in surface water by a multiscale feature extraction-based deep learning approach.

The Science of the total environment Aug 5, 2021
Accurate and effective prediction of polycyclic aromatic hydrocarbons (PAHs) in surface water remains a substantial challenge due to the limited understanding of the dynamic processes. To assist integrated surface water management, a novel hybrid sur...
Water Quality Rivers Water Polycyclic Aromatic Hydrocarbons Deep Learning
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Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of experience.

European journal of radiology Aug 5, 2021
PURPOSE: To compare the performance of lesion detection and Prostate Imaging-Reporting and Data System (PI-RADS) classification between a deep learning-based algorithm (DLA), clinical reports and radiologists with different levels of experience in pr...
Prostatic Neoplasms Radiologists Deep Learning Humans Magnetic Resonance Imaging Retrospective Studies Male
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REUR: A unified deep framework for signet ring cell detection in low-resolution pathological images.

Computers in biology and medicine Aug 5, 2021
Detecting signet ring cells (SRCs) in pathological images is essential for carcinoma diagnosis. However, it is time consuming for pathologists to detect SRCs manually from pathological images, and the accuracy of detecting them is also relatively low...
Deep Learning Carcinoma, Signet Ring Cell Humans Diagnosis, Computer-Assisted
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Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning.

Computers in biology and medicine Aug 5, 2021
When doctors use contrast-enhanced computed tomography (CECT) images to predict the metastasis of axillary lymph nodes (ALN) for breast cancer patients, the prediction performance could be degraded by subjective factors such as experience, psychologi...
Humans Retrospective Studies Breast Neoplasms Lymph Nodes Tomography, X-Ray Computed Deep Learning Lymphatic Metastasis Female
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An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors.

Accident; analysis and prevention Aug 5, 2021
Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment. Analyzing contributing factors that affect injury severity facilitates injury severity prediction and further application in developing countermeasures to g...
Risk Assessment Deep Learning Accidents, Traffic Humans Machine Learning
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Cascaded Deep Learning Neural Network for Automated Liver Steatosis Diagnosis Using Ultrasound Images.

Sensors (Basel, Switzerland) Aug 5, 2021
Diagnosing liver steatosis is an essential precaution for detecting hepatocirrhosis and liver cancer in the early stages. However, automatic diagnosis of liver steatosis from ultrasound (US) images remains challenging due to poor visual quality from ...
Image Processing, Computer-Assisted Humans Deep Learning Fatty Liver Neural Networks, Computer Ultrasonography
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Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model.

Sensors (Basel, Switzerland) Aug 5, 2021
Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula, which causes fluid accumulation in the macula. Efficient screening systems ...
Macular Edema Humans Deep Learning Diabetic Retinopathy Diabetes Mellitus
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Deep learning of contagion dynamics on complex networks.

Nature communications Aug 5, 2021
Forecasting the evolution of contagion dynamics is still an open problem to which mechanistic models only offer a partial answer. To remain mathematically or computationally tractable, these models must rely on simplifying assumptions, thereby limiti...
SARS-CoV-2 Disease Outbreaks COVID-19 Forecasting Spain Communicable Disease Control Deep Learning Models, Theoretical Humans
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Detection of subclinical rheumatic heart disease in children using a deep learning algorithm on digital stethoscope: a study protocol.

BMJ open Aug 5, 2021
INTRODUCTION: Rheumatic heart diseases (RHDs) contribute significant morbidity and mortality globally. To reduce the burden of RHD, timely initiation of secondary prophylaxis is important. The objectives of this study are to determine the frequency o...
Rheumatic Heart Disease Mitral Valve Insufficiency Adolescent Rheumatic Fever Child, Preschool Child Mass Screening Prevalence Deep Learning Humans Echocardiography
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ACCV: automatic classification algorithm of cataract video based on deep learning.

Biomedical engineering online Aug 5, 2021
PURPOSE: A real-time automatic cataract-grading algorithm based on cataract video is proposed.
Humans Deep Learning Cataract Lens, Crystalline Algorithms Retrospective Studies
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