AIMC Journal:
Scientific reports
Showing 321 to 330 of 5092 articles
Global burden of non-melanoma skin cancers among older adults: a comprehensive analysis using machine learning approaches.
Scientific reports
May 1, 2025
Non-melanoma skin cancers (NMSCs), including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), have shown significant global increases in burden, particularly among older adults, with wide regional, gender, and socio-demographic dispariti...
A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network.
Scientific reports
May 1, 2025
Deep neural networks are used to accurately detect, estimate, and predict human body poses in images or videos through deep learning-based human pose estimation. However, traditional multi-person pose estimation methods face challenges due to partial...
Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy.
Scientific reports
May 1, 2025
Anoikis and immune cell infiltration are pivotal factors in the pathophysiological mechanism of diabetic nephropathy (DN), yet a comprehensive understanding of the mechanism is lacking. This work aimed to pinpoint distinctive anoikis-related genes (A...
Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems.
Scientific reports
May 1, 2025
Mobile Edge Computing (MEC) systems face critical challenges in optimizing computation offloading decisions while maintaining quality of experience (QoE) and energy efficiency, particularly in dynamic multi-user environments. This paper introduces a ...
Evaluation of deliverable artificial intelligence-based automated volumetric arc radiation therapy planning for whole pelvic radiation in gynecologic cancer.
Scientific reports
Apr 30, 2025
This study aimed to develop a deep learning (DL)-based deliverable whole pelvic volumetric arc radiation therapy (VMAT) for patients with gynecologic cancer using a prototype DL-based automated planning support system, named RatoGuide, to evaluate it...
A new strategy for Cas protein recognition based on graph neural networks and SMILES encoding.
Scientific reports
Apr 30, 2025
The CRISPR-Cas system, an adaptive immune mechanism found in bacteria and archaea, has evolved into a promising genomic editing tool, with various types of Cas proteins playing a crucial role. In this study, we developed a set of strategies for minin...
Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography.
Scientific reports
Apr 30, 2025
Optimal selection of X-ray imaging parameters is crucial in coronary angiography and structural cardiac procedures to ensure optimal image quality and minimize radiation exposure. These anatomydependent parameters are organized into customizable orga...
Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector.
Scientific reports
Apr 30, 2025
Despite being one of the most prevalent cancers, prostate cancer (PCa) shows a significantly high survival rate, provided there is timely detection and treatment. Currently, several screening and diagnostic tests are required to be carried out in ord...
A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images.
Scientific reports
Apr 30, 2025
Recent advancements in deep learning have significantly impacted medical image processing domain, enabling sophisticated and accurate diagnostic tools. This paper presents a novel hybrid deep learning framework that combines convolutional neural netw...
Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning.
Scientific reports
Apr 30, 2025
Bacterial detection and classification are critical challenges in healthcare, environmental monitoring, and food safety, demanding selective and efficient methods. This study presents a novel, label-free approach for E. coli detection using ultrathin...
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