AIMC Topic: Deep Learning

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Classification of H. pylori Infection from Histopathological Images Using Deep Learning.

Journal of imaging informatics in medicine Feb 8, 2024
Helicobacter pylori (H. pylori) is a widespread pathogenic bacterium, impacting over 4 billion individuals globally. It is primarily linked to gastric diseases, including gastritis, peptic ulcers, and cancer. The current histopathological method for ...
Reproducibility of Results Helicobacter pylori Sensitivity and Specificity Image Interpretation, Computer-Assisted Humans Deep Learning Helicobacter Infections
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Basal Cell Carcinoma Diagnosis with Fusion of Deep Learning and Telangiectasia Features.

Journal of imaging informatics in medicine Feb 8, 2024
In recent years, deep learning (DL) has been used extensively and successfully to diagnose different cancers in dermoscopic images. However, most approaches lack clinical inputs supported by dermatologists that could aid in higher accuracy and explai...
Telangiectasis Carcinoma, Basal Cell Dermoscopy Skin Neoplasms Deep Learning Image Interpretation, Computer-Assisted Sensitivity and Specificity Humans
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Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance.

Journal of imaging informatics in medicine Feb 8, 2024
This study aimed to assess the performance of a deep learning algorithm in helping radiologist achieve improved efficiency and accuracy in chest radiograph diagnosis. We adopted a deep learning algorithm to concurrently detect the presence of normal ...
Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Adult Male Deep Learning Radiologists Middle Aged Artificial Intelligence Algorithms Female Humans
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Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.

Virchows Archiv : an international journal of pathology Feb 8, 2024
Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological characteristics, and differential diagnosis can be a dilemma for pathologists. This study aimed to apply deep learning (DL) to analyze whole slide images (WSI) of ...
Humans Female Reproducibility of Results Middle Aged Deep Learning Intestines Adult Male Young Adult Crohn Disease Diagnosis, Differential Image Interpretation, Computer-Assisted Predictive Value of Tests Tuberculosis, Gastrointestinal
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In silico prediction of ocular toxicity of compounds using explainable machine learning and deep learning approaches.

Journal of applied toxicology : JAT Feb 8, 2024
The accurate identification of chemicals with ocular toxicity is of paramount importance in health hazard assessment. In contemporary chemical toxicology, there is a growing emphasis on refining, reducing, and replacing animal testing in safety evalu...
Humans Eye Machine Learning Databases, Factual Animals Algorithms Computer Simulation Deep Learning
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ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.

Medical & biological engineering & computing Feb 8, 2024
Early intervention in tumors can greatly improve human survival rates. With the development of deep learning technology, automatic image segmentation has taken a prominent role in the field of medical image analysis. Manually segmenting kidneys on CT...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Algorithms Kidney Deep Learning Kidney Neoplasms
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Deep learning-based quantification and transcriptomic profiling reveal a methyl jasmonate-mediated glandular trichome formation pathway in Cannabis sativa.

The Plant journal : for cell and molecular biology Feb 8, 2024
Cannabis glandular trichomes (GTs) are economically and biotechnologically important structures that have a remarkable morphology and capacity to produce, store, and secrete diverse classes of secondary metabolites. However, our understanding of the ...
Oxylipins Gene Expression Profiling Transcriptome Cyclopentanes Plant Growth Regulators Deep Learning Acetates Gene Expression Regulation, Plant Cannabis Trichomes
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A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity.

Accident; analysis and prevention Feb 8, 2024
Pedestrians represent a population of vulnerable road users who are directly exposed to complex traffic conditions, thereby increasing their risk of injury or fatality. This study first constructed a multidimensional indicator to quantify pedestrian ...
Wounds and Injuries Humans Accidents, Traffic Deep Learning Built Environment Pedestrians Risk Factors
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Engineering novel scaffolds for specific HDAC11 inhibitors against metabolic diseases exploiting deep learning, virtual screening, and molecular dynamics simulations.

International journal of biological macromolecules Feb 8, 2024
The prevalence of metabolic diseases is increasing at a frightening rate year by year. The burgeoning development of deep learning enables drug design to be more efficient, selective, and structurally novel. The critical relevance of Histone deacetyl...
Histone Deacetylases Deep Learning Molecular Dynamics Simulation Humans Metabolic Diseases Molecular Docking Simulation
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Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Feb 8, 2024
Humans Deep Learning Diagnosis, Differential Rhabdomyosarcoma
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