AIMC Topic: Deep Learning

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Pretrained transformers applied to clinical studies improve predictions of treatment efficacy and associated biomarkers.

Nature communications Mar 1, 2025
Cancer treatment has made significant advancements in recent decades, however many patients still experience treatment failure or resistance. Attempts to identify determinants of response have been hampered by a lack of tools that simultaneously acco...
Immunotherapy Treatment Outcome Neoplasms Deep Learning Humans Biomarkers, Tumor
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Skin cancer detection using dermoscopic images with convolutional neural network.

Scientific reports Mar 1, 2025
Skin malignant melanoma is a high-risk tumor with low incidence but high mortality rates. Early detection and treatment are crucial for a cure. Machine learning studies have focused on classifying melanoma tumors, but these methods are cumbersome and...
Neural Networks, Computer Melanoma Skin Neoplasms Dermoscopy Deep Learning Convolutional Neural Networks Humans Early Detection of Cancer Melanoma, Cutaneous Malignant
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Intelligent biofilm detection with ensemble of deep learning networks.

Medicina oral, patologia oral y cirugia bucal Mar 1, 2025
BACKGROUND: Dental biofilm is traditionally identified visually, which can be challenging and time-consuming due to its color similarity with the tooth. The aim of this study was to evaluate the performance of U-Net neural networks for the automatic ...
Biofilms Neural Networks, Computer Retrospective Studies Humans Deep Learning
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Metastatic Lung Lesion Changes in Follow-up Chest CT: The Advantage of Deep Learning Simultaneous Analysis of Prior and Current Scans With SimU-Net.

Journal of thoracic imaging Mar 1, 2025
PURPOSE: Radiological follow-up of oncology patients requires the detection of metastatic lung lesions and the quantitative analysis of their changes in longitudinal imaging studies. Our aim was to evaluate SimU-Net, a novel deep learning method for ...
Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Deep Learning Lung Neoplasms Follow-Up Studies Middle Aged Lung Female Aged Male Humans Tomography, X-Ray Computed
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Deep learning-based weed detection for precision herbicide application in turf.

Pest management science Feb 28, 2025
BACKGROUND: Precision weed mapping in turf according to its susceptibility to selective herbicides allows the smart sprayer to spot-spray the most pertinent herbicides onto the susceptible weeds. The objective of this study was to evaluate the feasib...
Herbicides Neural Networks, Computer Weed Control Algorithms Deep Learning Plant Weeds
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A novel approach for estimating postmortem intervals under varying temperature conditions using pathology images and artificial intelligence models.

International journal of legal medicine Feb 28, 2025
Estimating the postmortem interval (PMI) is a critical yet complex task in forensic investigations, with accurate and timely determination playing a key role in case resolution and legal outcomes. Traditional methods often suffer from environmental v...
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Image Processing, Computer-Assisted Postmortem Changes Forensic Pathology Algorithms Temperature Deep Learning
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Deep Learning-Assisted Diagnosis of Malignant Cerebral Edema Following Endovascular Thrombectomy.

Academic radiology Feb 28, 2025
BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thrombectomy (EVT) in the treatment of acute ischemic stroke. This study aimed to develop and validate a deep learning-assisted diagnosis model based on t...
Postoperative Complications Deep Learning Ischemic Stroke Aged Male Middle Aged Brain Edema Endovascular Procedures Thrombectomy Humans Prospective Studies Tomography, X-Ray Computed Female
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A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction.

The Knee Feb 28, 2025
BACKGROUND: Anterior cruciate ligament (ACL) reconstruction is a widely performed procedure for ACL injury, but there are several factors which may lead to re-rupture or clinical failure. An intercondylar notch (or fossa) that is narrower may increas...
Humans Female Male Anterior Cruciate Ligament Injuries Models, Statistical Deep Learning Knee Joint Imaging, Three-Dimensional Anterior Cruciate Ligament Reconstruction Femur
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Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease.

Medical image analysis Feb 28, 2025
Examining the altered arrangement and patterning of sulcal folds offers insights into the mechanisms of neurodevelopmental differences in psychiatric and neurological disorders. Previous sulcal pattern analysis used spectral graph matching of sulcal ...
Adolescent Female Image Interpretation, Computer-Assisted Humans Male Child Neural Networks, Computer Deep Learning Cerebral Cortex Magnetic Resonance Imaging Heart Defects, Congenital
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A hybrid network based on multi-scale convolutional neural network and bidirectional gated recurrent unit for EEG denoising.

Neuroscience Feb 28, 2025
Electroencephalogram (EEG) signals are time series data containing abundant brain information. However, EEG frequently contains various artifacts, such as electromyographic, electrooculographic, and electrocardiographic. These artifacts can change EE...
Brain Deep Learning Convolutional Neural Networks Signal-To-Noise Ratio Humans Electroencephalography Neural Networks, Computer Signal Processing, Computer-Assisted Artifacts
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