AIMC Journal:
Scientific reports
Showing 1321 to 1330 of 5367 articles
Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images.
Scientific reports
Dec 18, 2024
Recognition and segmentation of brain tumours (BT) using MR images are valuable and tedious processes in the healthcare industry. Earlier diagnosis and localization of BT provide timely options to select effective treatment plans for the doctors and ...
Potential shared mechanisms in atopic dermatitis and type 2 diabetes identified via transcriptomic and machine learning approaches.
Scientific reports
Dec 16, 2024
Although atopic dermatitis (AD) and type 2 diabetes mellitus (T2DM) may appear clinically and pathophysiologically unrelated, AD is a common skin disease characterized by chronic inflammation and skin barrier dysfunction, whereas T2DM is a metabolic ...
AlzGenPred - CatBoost-based gene classifier for predicting Alzheimer's disease using high-throughput sequencing data.
Scientific reports
Dec 5, 2024
AD is a progressive neurodegenerative disorder characterized by memory loss. Due to the advancement in next-generation sequencing, an enormous amount of AD-associated genomics data is available. However, the information about the involvement of these...
Robust modelling of arterial blood pressure reconstruction from photoplethysmography.
Scientific reports
Dec 5, 2024
Blood pressure is a crucial indicator of cardiovascular disease, and arterial blood pressure (ABP) waveforms contain information that reflects the cardiovascular status. We propose a novel deep-learning method that converts photoplethysmogram (PPG) s...
Detection of three-rooted mandibular first molars on panoramic radiographs using deep learning.
Scientific reports
Dec 5, 2024
This study aimed to develop a deep learning system for the detection of three-rooted mandibular first molars (MFMs) on panoramic radiographs and to assess its diagnostic performance. Panoramic radiographs, together with cone beam computed tomographic...
An innovative methodology for segmenting vessel like structures using artificial intelligence and image processing.
Scientific reports
Dec 5, 2024
Innovation is currently driving enhanced performance and productivity across various fields through process automation. However, identifying intricate details in images can often pose challenges due to morphological variations or specific conditions....
Cell-free plasma telomere length correlated with the risk of cardiovascular events using machine learning classifiers.
Scientific reports
Dec 5, 2024
This retrospective study explored the association between circulating cell-free plasma telomere length (cf-TL) and coronary artery disease (CAD) and heart failure (HF). Data from 518 participants were collected, including clinical and laboratory data...
The analysis of generative adversarial network in sports education based on deep learning.
Scientific reports
Dec 5, 2024
The importance of mental health is increasingly emphasized in modern society. The assessment of mental health qualities among college and university students as the future workforce holds significant significance. Therefore, this study, aiming to str...
Evaluating deep learning models for classifying OCT images with limited data and noisy labels.
Scientific reports
Dec 5, 2024
The use of deep learning for OCT image classification could enhance the diagnosis and monitoring of retinal diseases. However, challenges like variability in retinal abnormalities, noise, and artifacts in OCT images limit its clinical use. Our study ...
Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology.
Scientific reports
Dec 5, 2024
Human visual attention allows prior knowledge or expectations to influence visual processing, allocating limited computational resources to only that part of the image that are likely to behaviourally important. Here, we present an image recognition ...
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