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Smoking & Tobacco

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

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Showing 274-294 of 3,112 articles
Simultaneous brain structure segmentation in magnetic resonance images using deep convolutional neural networks.

In brain magnetic resonance imaging (MRI) examinations, rapidly acquired two-dimensional (2D) T1-wei...

Ultrasound Scatterer Density Classification Using Convolutional Neural Networks and Patch Statistics.

Quantitative ultrasound (QUS) can reveal crucial information on tissue properties, such as scatterer...

Efficient Source Camera Identification with Diversity-Enhanced Patch Selection and Deep Residual Prediction.

Source camera identification has long been a hot topic in the field of image forensics. Besides conv...

Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography.

Soft tissue sarcoma (STS) is a locally aggressive and infiltrative tumour in dogs. Surgical resectio...

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning.

BACKGROUND AND OBJECTIVE: Processing of medical images such as MRI or CT presents different challeng...

Hybrid AI-assistive diagnostic model permits rapid TBS classification of cervical liquid-based thin-layer cell smears.

Technical advancements significantly improve earlier diagnosis of cervical cancer, but accurate diag...

Predicting changes in substance use following psychedelic experiences: natural language processing of psychedelic session narratives.

: Experiences with psychedelic drugs, such as psilocybin or lysergic acid diethylamide (LSD), are so...

Impact of deep learning-determined smoking status on mortality of cancer patients: never too late to quit.

BACKGROUND: Persistent smoking after cancer diagnosis is associated with increased overall mortality...

A Global and Local Enhanced Residual U-Net for Accurate Retinal Vessel Segmentation.

Retinal vessel segmentation is a critical procedure towards the accurate visualization, diagnosis, e...

Breast cancer risk prediction in African women using Random Forest Classifier.

INTRODUCTION: One of the most important steps in combating breast cancer is early and accurate diagn...

Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.

Digital data sources have become ubiquitous in modern culture in the era of digital technology but ...

Explaining face representation in the primate brain using different computational models.

Understanding how the brain represents the identity of complex objects is a central challenge of vis...

Overcoming the limitations of patch-based learning to detect cancer in whole slide images.

Whole slide images (WSIs) pose unique challenges when training deep learning models. They are very l...

Multimodal super-resolved q-space deep learning.

Super-resolvedq-space deep learning (SR-q-DL) has been developed to estimate high-resolution (HR) ti...

Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides.

Renal cell carcinoma (RCC) is the most common renal cancer in adults. The histopathologic classifica...

Deep learning-based real-time detection of neurons in brain slices for in vitro physiology.

A common electrophysiology technique used in neuroscience is patch clamp: a method in which a glass ...

Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy.

Probe-based confocal laser endomicroscopy (pCLE) allows for real-time diagnosis of dysplasia and can...

Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences.

Alterations in the human microbiome have been observed in a variety of conditions such as asthma, gi...

Giant Panda Identification.

The lack of automatic tools to identify giant panda makes it hard to keep track of and manage giant ...

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