AIMC Topic: Deep Learning

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Detection of extracranial and intracranial calcified carotid artery atheromas in cone beam computed tomography using a deep learning convolutional neural network image segmentation approach.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 17, 2023
OBJECTIVE: We leveraged an artificial intelligence deep-learning convolutional neural network (DL CNN) to detect calcified carotid artery atheromas (CCAAs) on cone beam computed tomography (CBCT) images.
Aged Plaque, Atherosclerotic Male Carotid Artery Diseases Neural Networks, Computer Female Cone-Beam Computed Tomography Radiographic Image Interpretation, Computer-Assisted Middle Aged Deep Learning Humans
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Predicting transcriptional outcomes of novel multigene perturbations with GEARS.

Nature biotechnology Aug 17, 2023
Understanding cellular responses to genetic perturbation is central to numerous biomedical applications, from identifying genetic interactions involved in cancer to developing methods for regenerative medicine. However, the combinatorial explosion in...
Single-Cell Analysis Gene Regulatory Networks Sequence Analysis, RNA Transcription, Genetic Computer Simulation Computational Biology Deep Learning Humans
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Regarding "Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model".

AJNR. American journal of neuroradiology Aug 17, 2023
Patients Intracranial Thrombosis Humans Deep Learning Ischemic Stroke
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High-accuracy morphological identification of bone marrow cells using deep learning-based Morphogo system.

Scientific reports Aug 17, 2023
Accurate identification and classification of bone marrow (BM) nucleated cell morphology are crucial for the diagnosis of hematological diseases. However, the subjective and time-consuming nature of manual identification by pathologists hinders promp...
Erythrocytes Granulocytes Deep Learning Monocytes Humans Neural Networks, Computer
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Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias.

Scientific reports Aug 17, 2023
The Coronavirus Disease 2019 (COVID-19) is transitioning into the endemic phase. Nonetheless, it is crucial to remain mindful that pandemics related to infectious respiratory diseases (IRDs) can emerge unpredictably. Therefore, we aimed to develop an...
Influenza, Human Pneumonia, Viral COVID-19 Deep Learning Humans Machine Learning
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Aphid cluster recognition and detection in the wild using deep learning models.

Scientific reports Aug 17, 2023
Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying chemicals across entire fields is both environmentally unsustainable ...
Edible Grain Mental Recall Recognition, Psychology Animals Deep Learning Aphids
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A deep learning method for replicate-based analysis of chromosome conformation contacts using Siamese neural networks.

Nature communications Aug 17, 2023
The organisation of the genome in nuclear space is an important frontier of biology. Chromosome conformation capture methods such as Hi-C and Micro-C produce genome-wide chromatin contact maps that provide rich data containing quantitative and qualit...
Chromatin Deep Learning Neural Networks, Computer Molecular Conformation
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Deep learning-based dose map prediction for high-dose-rate brachytherapy.

Physics in medicine and biology Aug 17, 2023
. Creating a clinically acceptable plan in the time-sensitive clinic workflow of brachytherapy is challenging. Deep learning-based dose prediction techniques have been reported as promising solutions with high efficiency and accuracy. However, curren...
Humans Female Deep Learning Benchmarking Pelvis Brachytherapy Hypobetalipoproteinemias
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Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm.

PloS one Aug 17, 2023
Recently, research has shown an increased spread of non-communicable diseases such as cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in recent years. Early lung cancer diagnosis and detection would reliably promot...
Lung Neoplasms Humans Tomography, X-Ray Computed Hospitals, Teaching Hemorrhagic Fever, Ebola Deep Learning Algorithms
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The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement Initiative.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer Aug 16, 2023
INTRODUCTION: With global adoption of computed tomography (CT) lung cancer screening, there is increasing interest to use artificial intelligence (AI) deep learning methods to improve the clinical management process. To enable AI research using an op...
Lung Deep Learning Lung Neoplasms Early Detection of Cancer Humans Emphysema Artificial Intelligence
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