Primary Care

Smoking & Tobacco

Latest AI and machine learning research in smoking & tobacco for healthcare professionals.

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Showing 421-441 of 3,112 articles
A patch-based convolutional neural network for remote sensing image classification.

Availability of accurate land cover information over large areas is essential to the global environm...

Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition.

Accurate classification of hepatocellular carcinoma (HCC) image is of great importance in pathology ...

Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers.

We investigated the feasibility and potentiality of presymptomatic detection of tobacco disease usin...

An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.

Being a non-histone protein, Ki-67 is one of the essential biomarkers for the immunohistochemical as...

A Hierarchical Convolutional Neural Network for vesicle fusion event classification.

Quantitative analysis of vesicle exocytosis and classification of different modes of vesicle fusion ...

Patch Based Multiple Instance Learning Algorithm for Object Tracking.

To deal with the problems of illumination changes or pose variations and serious partial occlusion, ...

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.

We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic segmentation of Neuro...

Impact of a Collective Intelligence Tailored Messaging System on Smoking Cessation: The Perspect Randomized Experiment.

BACKGROUND: Outside health care, content tailoring is driven algorithmically using machine learning ...

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.

Accurate segmentation of perimysium plays an important role in early diagnosis of many muscle diseas...

Classifying smoking urges via machine learning.

BACKGROUND AND OBJECTIVE: Smoking is the largest preventable cause of death and diseases in the deve...

Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means.

OBJECTIVE: We introduce descriptor-based segmentation that extends existing patch-based methods by c...

Classification of the fragrant styles and evaluation of the aromatic quality of flue-cured tobacco leaves by machine-learning methods.

During commercial transactions, the quality of flue-cured tobacco leaves must be characterized effic...

Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events.

BACKGROUND: Neuropathy often occurs following drug treatment such as chemotherapy. Severe instances ...

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.

Segmenting male pelvic organs from CT images is a prerequisite for prostate cancer radiotherapy. The...

Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk.

An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance...

Family income per capita, age, and smoking status are predictors of low fiber intake in residents of São Paulo, Brazil.

We hypothesized that dietary total fiber intake may be less than recommendations and that the intake...

Imatinib Increases Serum Creatinine by Inhibiting Its Tubular Secretion in a Reversible Fashion in Chronic Myeloid Leukemia.

BACKGROUND: Monitoring renal function is important in imatinib-treated patients with chronic myeloid...

Evaluation of the impact of Flos Daturae on rat hepatic cytochrome P450 enzymes by cocktail probe drugs.

Flos Daturae, known as "baimantuoluo" or "yangjinhua" in China, has been used for centuries in Tradi...

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