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Primary-Care Subcategories: Alternative Medicine Dental Health Diet & Nutrition Exercise & Fitness Geriatrics Obesity Preventive Care Smoking & Tobacco

Showing 337-357 of 3,112 articles

Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging.

Deriving accurate structural maps for attenuation correction (AC) of whole-body positron emission to...

Mar 2020 PMID: 31869826

Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints.

The extreme variability of the folding pattern of the human cortex makes the recognition of cortical...

Feb 2020 PMID: 32163879

Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

BACKGROUND: Relatives of patients with bladder cancer have been shown to be at increased risk for ki...

Feb 2020 PMID: 32098890

Discovery of Small-Molecule Activators for Glucose-6-Phosphate Dehydrogenase (G6PD) Using Machine Learning Approaches.

Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-pho...

Feb 2020 PMID: 32102234

Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events.

Nicotine consumption is considered a major health problem, where many of those who wish to quit smok...

Feb 2020 PMID: 32079359

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.

Digital histology images are amenable to the application of convolutional neural networks (CNNs) for...

Feb 2020 PMID: 32012004

Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data.

Single-molecule research techniques such as patch-clamp electrophysiology deliver unique biological ...

Jan 2020 PMID: 31925311

Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification.

Deep learning approaches are widely applied to histopathological image analysis due to the impressiv...

Dec 2019 PMID: 31880545

Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning.

Tumor budding is a promising and cost-effective biomarker with strong prognostic value in colorectal...

Dec 2019 PMID: 31844269

Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@).

BACKGROUND: The wide scale and severity of consequences of tobacco use, benefits derived from cessat...

Dec 2019 PMID: 31796061

Deep segmentation networks predict survival of non-small cell lung cancer.

Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...

Nov 2019 PMID: 31754135

Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network.

Deep-UV (DUV) excitation fluorescence microscopy has potential to provide rapid diagnosis with simpl...

Nov 2019 PMID: 31729459

Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings.

A method of analysis of a database of patients (n = 10 329) screened for an abdominal aortic aneurys...

Nov 2019 PMID: 31682022

Deep Learning-Based Classification of Liver Cancer Histopathology Images Using Only Global Labels.

Liver cancer is a leading cause of cancer deaths worldwide due to its high morbidity and mortality. ...

Oct 2019 PMID: 31670686

Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit...

Oct 2019 PMID: 31707266

Hypervitaminosis D without toxicity.

Vitamin D deficiency is highly prevalent and there are an increasing number of reports of vitamin D ...

Oct 2019 PMID: 32063764

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

We present a deep convolutional neural network for breast cancer screening exam classification, trai...

Oct 2019 PMID: 31603772

Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images-Role of Multiscale Decision Aggregation and Data Augmentation.

Visual inspection of histopathology images of stained biopsy tissue by expert pathologists is the st...

Sep 2019 PMID: 31567104

Primary Care

Browse Specialties

Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging.

Automatic labeling of cortical sulci using patch- or CNN-based segmentation techniques combined with bottom-up geometric constraints.

Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

Discovery of Small-Molecule Activators for Glucose-6-Phosphate Dehydrogenase (G6PD) Using Machine Learning Approaches.

Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.

Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data.

Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification.

Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning.

Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@).

Deep segmentation networks predict survival of non-small cell lung cancer.

Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network.

Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings.

Deep Learning-Based Classification of Liver Cancer Histopathology Images Using Only Global Labels.

Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

Hypervitaminosis D without toxicity.

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images-Role of Multiscale Decision Aggregation and Data Augmentation.

Image reconstruction for positron emission tomography based on patch-based regularization and dictionary learning.

Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

Abdominal artery segmentation method from CT volumes using fully convolutional neural network.

Browse Specialties