AIMC Journal:
Scientific reports

Showing 1761 to 1770 of 5371 articles

A multibranch and multiscale neural network based on semantic perception for multimodal medical image fusion.

Scientific reports Jul 30, 2024
Medical imaging is indispensable for accurate diagnosis and effective treatment, with modalities like MRI and CT providing diverse yet complementary information. Traditional image fusion methods, while essential in consolidating information from mult...
Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed Magnetic Resonance Imaging Deep Learning Humans Semantics Multimodal Imaging Neural Networks, Computer
View on PubMed DOI

Analyzing Medicago spp. seed morphology using GWAS and machine learning.

Scientific reports Jul 30, 2024
Alfalfa is widely recognized as an important forage crop. To understand the morphological characteristics and genetic basis of seed morphology in alfalfa, we screened 318 Medicago spp., including 244 Medicago sativa subsp. sativa (alfalfa) and 23 oth...
Phenotype Genome, Plant Medicago Polymorphism, Single Nucleotide Quantitative Trait Loci Medicago truncatula Genome-Wide Association Study Seeds Machine Learning Medicago sativa
View on PubMed DOI

Training high-performance deep learning classifier for diagnosis in oral cytology using diverse annotations.

Scientific reports Jul 30, 2024
The uncertainty of true labels in medical images hinders diagnosis owing to the variability across professionals when applying deep learning models. We used deep learning to obtain an optimal convolutional neural network (CNN) by adequately annotatin...
Cytodiagnosis Humans Image Processing, Computer-Assisted Neural Networks, Computer Mouth Neoplasms Deep Learning Pathologists
View on PubMed DOI

Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data.

Scientific reports Jul 30, 2024
Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as coma, can predict death, but they are insufficient for the accurate prognosis of other outcomes, especially when impacted by co-morbidities such as HIV i...
HIV Infections Longitudinal Studies Disease Progression Tuberculosis, Meningeal Humans Prospective Studies Machine Learning Magnetic Resonance Imaging Brain Prognosis Male Adult Female Middle Aged
View on PubMed DOI

Semantic-enhanced graph neural network for named entity recognition in ancient Chinese books.

Scientific reports Jul 30, 2024
Named entity recognition (NER) plays a crucial role in the extraction and utilization of knowledge of ancient Chinese books. However, the challenges of ancient Chinese NER not only originate from linguistic features such as the use of single characte...
China Semantics Books Neural Networks, Computer Deep Learning Humans
View on PubMed DOI

Mask region-based convolutional neural network and VGG-16 inspired brain tumor segmentation.

Scientific reports Jul 30, 2024
The process of brain tumour segmentation entails locating the tumour precisely in images. Magnetic Resonance Imaging (MRI) is typically used by doctors to find any brain tumours or tissue abnormalities. With the use of region-based Convolutional Neur...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Sensitivity and Specificity Brain Neoplasms Algorithms
View on PubMed DOI

Identification and immune landscape of sarcopenia-related molecular clusters in inflammatory bowel disease by machine learning and integrated bioinformatics.

Scientific reports Jul 30, 2024
Sarcopenia, a prevalent comorbidity of inflammatory bowel disease (IBD), is characterized by diminished skeletal muscle mass and strength. Nevertheless, the underlying interconnected mechanisms remain elusive. This study identified distinct expressio...
Humans Machine Learning Gene Expression Profiling Transcriptome Gene Regulatory Networks Inflammatory Bowel Diseases Male Computational Biology Sarcopenia
View on PubMed DOI

Extended dipeptide composition framework for accurate identification of anticancer peptides.

Scientific reports Jul 29, 2024
The identification of anticancer peptides (ACPs) is crucial, especially in the development of peptide-based cancer therapy. The classical models such as Split Amino Acid Composition (SAAC) and Pseudo Amino Acid Composition (PseAAC) lack the incorpora...
Reproducibility of Results Humans Antineoplastic Agents Machine Learning Support Vector Machine Computational Biology Algorithms Dipeptides
View on PubMed DOI

A machine learning approach to predict in vivo skin growth.

Scientific reports Jul 29, 2024
Since their invention, tissue expanders, which are designed to trigger additional skin growth, have revolutionised many reconstructive surgeries. Currently, however, the sole quantitative method to assess skin growth requires skin excision. Thus, in ...
Machine Learning Skin Finite Element Analysis Humans Neural Networks, Computer Tissue Expansion
View on PubMed DOI

Explainable machine learning models for early gastric cancer diagnosis.

Scientific reports Jul 29, 2024
Gastric cancer remains a significant global health concern, with a notably high incidence in East Asia. This paper explores the potential of explainable machine learning models in enhancing the early diagnosis of gastric cancer. Through comprehensive...
Stomach Neoplasms Biomarkers, Tumor Humans Early Detection of Cancer Machine Learning
View on PubMed DOI
Popular Topics
Popular Journals