AIMC Topic: Deep Learning

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AI-MET: A deep learning-based clinical decision support system for distinguishing multisystem inflammatory syndrome in children from endemic typhus.

Computers in biology and medicine Feb 22, 2025
The COVID-19 pandemic brought several diagnostic challenges, including the post-infectious sequelae multisystem inflammatory syndrome in children (MIS-C). Some of the clinical features of this syndrome can be found in other pathologies such as Kawasa...
Male Infant Deep Learning Child, Preschool Child Systemic Inflammatory Response Syndrome COVID-19 Female SARS-CoV-2 Humans Typhus, Endemic Flea-Borne Decision Support Systems, Clinical Diagnosis, Differential
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Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts.

Tomography (Ann Arbor, Mich.) Feb 22, 2025
BACKGROUND/OBJECTIVE: Longitudinal in vivo studies of murine xenograft models are widely utilized in oncology to study cancer biology and develop therapies. Magnetic resonance imaging (MRI) of these tumors is an invaluable tool for monitoring tumor g...
Heterografts Prostatic Neoplasms Tibia Image Processing, Computer-Assisted Mice Animals Humans Kidney Male Algorithms Deep Learning Magnetic Resonance Imaging Disease Models, Animal Liver
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Content-Based Histopathological Image Retrieval.

Sensors (Basel, Switzerland) Feb 22, 2025
Feature descriptors in histopathological images are an important challenge for the implementation of Content-Based Image Retrieval (CBIR) systems, an essential tool to support pathologists. Deep learning models like Convolutional Neural Networks and ...
Humans Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted
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Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning.

Scientific reports Feb 22, 2025
Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction. While current studies have primarily focused on detecting and counting crop plants during the early stages of low...
Agriculture Remote Sensing Technology Crops, Agricultural Unmanned Aerial Devices Amorphophallus Deep Learning Image Processing, Computer-Assisted
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Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation.

Scientific reports Feb 22, 2025
Pathologists have depended on their visual experience to assess tissue structures in smear images, which was time-consuming, error-prone, and inconsistent. Deep learning, particularly Convolutional Neural Networks (CNNs), offers the ability to automa...
Uncertainty Deep Learning Image Processing, Computer-Assisted Supervised Machine Learning Neural Networks, Computer Algorithms Humans
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A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity.

Scientific reports Feb 22, 2025
Chest computed tomography (CT) scans are essential for accurately assessing the severity of the novel Coronavirus (COVID-19), facilitating appropriate therapeutic interventions and monitoring disease progression. However, determining COVID-19 severit...
Lung Severity of Illness Index Deep Learning SARS-CoV-2 Male Humans Neural Networks, Computer COVID-19 Tomography, X-Ray Computed Female
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SVEA: an accurate model for structural variation detection using multi-channel image encoding and enhanced AlexNet architecture.

Journal of translational medicine Feb 22, 2025
BACKGROUND: Structural variations (SVs) are a pervasive and impactful class of genetic variation within the genome, significantly influencing gene function, impacting human health, and contributing to disease. Recent advances in deep learning have sh...
Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Genomic Structural Variation
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Artificial intelligence assessment of tissue-dissection efficiency in laparoscopic colorectal surgery.

Langenbeck's archives of surgery Feb 22, 2025
PURPOSE: Several surgical-skill assessment tools emphasize the importance of efficient tissue-dissection, whose assessment relies on human judgment and is thus subject to bias. Automated assessment may help solve this problem. This study aimed to ver...
Feasibility Studies Japan Aged Operative Time Colorectal Neoplasms Artificial Intelligence Laparoscopy Middle Aged Male Dissection Retrospective Studies Deep Learning Humans Female Clinical Competence
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Event-driven figure-ground organisation model for the humanoid robot iCub.

Nature communications Feb 22, 2025
Figure-ground organisation is a perceptual grouping mechanism for detecting objects and boundaries, essential for an agent interacting with the environment. Current figure-ground segmentation methods rely on classical computer vision or deep learning...
Humans Deep Learning Robotics Neural Networks, Computer Visual Perception Computer Simulation Animals
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AI-augmented Biophysical modeling in thermoplasmonics for real-time monitoring and diagnosis of human tissue infections.

Journal of thermal biology Feb 22, 2025
Identifying tissue infections from the body still poses an unprecedented challenge in society. Conventional diagnostic procedures are time-consuming and lack a real-time monitoring mode. This study proposes a system with an Artificial Intelligence (A...
Surface Plasmon Resonance Humans Artificial Intelligence Deep Learning
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