AIMC Journal:
Scientific reports

Showing 761 to 770 of 5361 articles

Skin lesion segmentation with a multiscale input fusion U-Net incorporating Res2-SE and pyramid dilated convolution.

Scientific reports Mar 7, 2025
Skin lesion segmentation is crucial for identifying and diagnosing skin diseases. Accurate segmentation aids in identifying and localizing diseases, monitoring morphological changes, and extracting features for further diagnosis, especially in the ea...
Skin Skin Neoplasms Skin Diseases Dermoscopy Humans Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Leveraging YOLO deep learning models to enhance plant disease identification.

Scientific reports Mar 7, 2025
Early automation in identifying plant diseases is crucial for the precise protection of crops. Plant diseases pose substantial risks to agriculture-dependent nations, often leading to notable crop losses and financial challenges, particularly in deve...
Fragaria Deep Learning Plant Leaves Crops, Agricultural Plant Diseases
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Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Scientific reports Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Kaplan-Meier Estimate Microvessels Immune Checkpoint Proteins Meta-Analysis as Topic Mutation Datasets as Topic Treatment Outcome Neoplasm Invasiveness Liver Precision Medicine Carcinoma, Hepatocellular Biomarkers, Tumor Prognosis Single-Cell Gene Expression Analysis Humans Risk Assessment Clinical Decision-Making Machine Learning Immunotherapy Liver Neoplasms Gene Expression Regulation, Neoplastic
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An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children.

Scientific reports Mar 7, 2025
Kawasaki disease (KD) is a syndrome of acute systemic vasculitis commonly observed in children. Due to its unclear pathogenesis and the lack of specific diagnostic markers, it is prone to being confused with other diseases that exhibit similar sympto...
Humans Mucocutaneous Lymph Node Syndrome Machine Learning Area Under Curve Algorithms Female Child, Preschool Male Child Infant ROC Curve
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Machine learning enhanced immunologic risk assessments for solid organ transplantation.

Scientific reports Mar 7, 2025
The purpose of this study was to enhance the prediction of solid-organ recipient and donor crossmatch compatibility by applying machine learning (ML). Prediction of crossmatch compatibility is complex and requires an understanding of the recipient an...
ROC Curve Tissue Donors Organ Transplantation Humans Machine Learning Risk Assessment HLA Antigens Alleles Histocompatibility Testing
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Application of machine learning techniques in GlaucomAI system for glaucoma diagnosis and collaborative research support.

Scientific reports Mar 7, 2025
This paper proposes an architecture of the system that provides support for collaborative research focused on analysis of data acquired using Triggerfish contact lens sensor and devices for continuous monitoring of cardiovascular system properties. T...
Humans Glaucoma Machine Learning Intraocular Pressure
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RSM and AI based machine learning for quality by design development of rivaroxaban push-pull osmotic tablets and its PBPK modeling.

Scientific reports Mar 7, 2025
The study is based on applying Artificial Neural Network (ANN) based machine learning and Response Surface Methodology (RSM) as simultaneous bivariate approaches in developing controlled-release rivaroxaban (RVX) osmotic tablets. The influence of dif...
Biological Availability Rivaroxaban Delayed-Action Preparations Osmosis Models, Biological Tablets Drug Liberation Humans Neural Networks, Computer Machine Learning
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Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning.

Scientific reports Mar 7, 2025
No studies have examined the prognostic value of the log odds of negative lymph nodes/T stage (LONT) in locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (nCRT). We aimed to assess the prognostic value of LONT and devel...
Lymphatic Metastasis Adult Prognosis Neoplasm Staging Male ROC Curve Female Middle Aged Humans Rectal Neoplasms Lymph Nodes Aged Machine Learning Disease-Free Survival Neoadjuvant Therapy
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A novel hybrid CNN-transformer model for arrhythmia detection without R-peak identification using stockwell transform.

Scientific reports Mar 6, 2025
This study presents a novel hybrid deep learning model for arrhythmia classification from electrocardiogram signals, utilizing the stockwell transform for feature extraction. As ECG signals are time-series data, they are transformed into the frequenc...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Humans Deep Learning Electrocardiography Neural Networks, Computer Algorithms
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Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images.

Scientific reports Mar 6, 2025
Whole-body bone scan (WBS) is usually used as the effective diagnostic method for early-stage and comprehensive bone metastases of breast cancer. WBS images with breast cancer bone metastasis have the characteristics of low resolution, small foregrou...
Middle Aged Deep Learning Image Processing, Computer-Assisted Bone Neoplasms Bone and Bones Whole Body Imaging Retrospective Studies Female Breast Neoplasms Humans
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