AIMC Topic: Deep Learning

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Deep Learning-Assisted Intelligent Artificial Vision Platform Based on Dual-Luminescence Eu(III)-Functionalized HOF for the Diagnosis of Breast and Ovarian Cancer.

Analytical chemistry Dec 13, 2023
Developing an advanced analytical method to detect spermine (Spm) and -acetylneuraminic acid (NANA), the biomarkers of breast and ovarian cancers, respectively, is critical for the early diagnosis of the two cancers, which is very meaningful for wome...
Humans Female Deep Learning Prospective Studies Luminescence Ovarian Neoplasms Fluorescent Dyes Limit of Detection Spectrometry, Fluorescence
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Estrus Detection and Dairy Cow Identification with Cascade Deep Learning for Augmented Reality-Ready Livestock Farming.

Sensors (Basel, Switzerland) Dec 13, 2023
Accurate prediction of the estrus period is crucial for optimizing insemination efficiency and reducing costs in animal husbandry, a vital sector for global food production. Precise estrus period determination is essential to avoid economic losses, s...
Milk Dairying Cattle Artificial Intelligence Augmented Reality Animals Livestock Estrus Detection Deep Learning Female
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Deep learning prediction of hospital readmissions for asthma and COPD.

Respiratory research Dec 13, 2023
QUESTION: Severe asthma and COPD exacerbations requiring hospitalization are linked to increased disease morbidity and healthcare costs. We sought to identify Electronic Health Record (EHR) features of severe asthma and COPD exacerbations and evaluat...
Patient Readmission Male Deep Learning Pulmonary Disease, Chronic Obstructive Retrospective Studies Asthma Female Humans Hospitalization
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Using green background for dermatological images to improve deep learning-based image classification.

Archives of dermatological research Dec 13, 2023
Humans Image Processing, Computer-Assisted Deep Learning
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Deep learning based uncertainty prediction of deformable image registration for contour propagation and dose accumulation in online adaptive radiotherapy.

Physics in medicine and biology Dec 13, 2023
Online adaptive radiotherapy aims to fully leverage the advantages of highly conformal therapy by reducing anatomical and set-up uncertainty, thereby alleviating the need for robust treatments. This requires extensive automation, among which is the u...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Radiotherapy Planning, Computer-Assisted Deep Learning Uncertainty
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Artificial neural network and deep learning in Sjögren's disease: where we are and where we are going.

Clinical and experimental rheumatology Dec 13, 2023
Deep Learning Sjogren's Syndrome Humans Neural Networks, Computer
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DeepCompoundNet: enhancing compound-protein interaction prediction with multimodal convolutional neural networks.

Journal of biomolecular structure & dynamics Dec 12, 2023
Virtual screening has emerged as a valuable computational tool for predicting compound-protein interactions, offering a cost-effective and rapid approach to identifying potential candidate drug molecules. Current machine learning-based methods rely o...
Drug Discovery Deep Learning Convolutional Neural Networks Neural Networks, Computer Proteins Protein Binding Computational Biology
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Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approach.

European radiology Dec 12, 2023
OBJECTIVES: To evaluate the relationship of changes in the deep learning-based CT quantification of interstitial lung disease (ILD) with changes in forced vital capacity (FVC) and visual assessments of ILD progression, and to investigate their progno...
Vital Capacity Male Middle Aged Deep Learning Lung Diseases, Interstitial Disease Progression Female Aged Retrospective Studies Tomography, X-Ray Computed Humans Prognosis
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Ultra-fast whole-body bone tomoscintigraphies achieved with a high-sensitivity 360° CZT camera and a dedicated deep-learning noise reduction algorithm.

European journal of nuclear medicine and molecular imaging Dec 12, 2023
UNLABELLED: This study aimed to determine whether the whole-body bone Single Photon Emission Computed Tomography (SPECT) recording times of around 10 min, routinely provided by a high-sensitivity 360° cadmium and zinc telluride (CZT) camera, can be f...
Tomography, Emission-Computed, Single-Photon Tellurium Deep Learning Cadmium Zinc Humans
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A New Deep Learning Algorithm for Detecting Spinal Metastases on Computed Tomography Images.

Spine Dec 12, 2023
STUDY DESIGN: Retrospective diagnostic study.
Humans Artificial Intelligence Deep Learning Spinal Neoplasms Tomography, X-Ray Computed Algorithms Quality of Life Retrospective Studies
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