AIMC Topic: Deep Learning
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Evaluation of deep learning models using explainable AI with qualitative and quantitative analysis for rice leaf disease detection.
Scientific reports
Aug 29, 2025
Deep learning models have shown remarkable success in disease detection and classification tasks, but lack transparency in their decision-making process, creating reliability and trust issues. Although traditional evaluation methods focus entirely on...
Using deep learning to predict internalizing problems from brain structure in youth.
Translational psychiatry
Aug 29, 2025
Internalizing problems (e.g., anxiety and depression) are associated with a wide range of adverse outcomes. While some predictors of internalizing problems are known (e.g., their frequent co-occurrence with neurodevelopmental (ND) conditions), the bi...
Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation.
JMIR medical informatics
Aug 29, 2025
BACKGROUND: Osteoporotic vertebral fractures (OVFs) are common in older adults and often lead to disability if not properly diagnosed and classified. With the increased use of computed tomography (CT) imaging and the development of radiomics and deep...
Deep learning in chromatin organization: from super-resolution microscopy to clinical applications.
Cellular and molecular life sciences : CMLS
Aug 29, 2025
The 3D organization of the genome plays a critical role in regulating gene expression, maintaining cellular identity, and mediating responses to environmental cues. Advances in super-resolution microscopy and genomic technologies have enabled unprece...
Multiple model visual feature embedding and selection method for an efficient pest classification supporting precision agriculture.
Scientific reports
Aug 29, 2025
Agriculture 5.0 is a principal economic activity in the world with major workforce dependent crops cultivation. An automated system for crops field insect pest identification can help decrease labour, while also improving the speed and precision in c...
Ocotillo optimization-driven deep learning for bone marrow cytology classification.
PloS one
Aug 29, 2025
Manual diagnosis of hematological cancers like leukemia through bone marrow smear analysis is labor-intensive, prone to errors, and highly dependent on expert knowledge. To overcome these limitations, this study introduces a comprehensive deep learni...
Personalized MRI-based characterization of subcortical anomalies in Ataxia-Telangiectasia using deep-learning.
PloS one
Aug 29, 2025
BACKGROUND: Cerebellar atrophy is a known feature of ataxia-telangiectasia (A-T). However, basal ganglia dysfunction contributing to extrapyramidal movement disorders in A-T remains understudied.
Nasopharyngeal cancer adaptive radiotherapy with CBCT-derived synthetic CT: deep learning-based auto-segmentation precision and dose calculation consistency on a C-Arm linac.
Radiation oncology (London, England)
Aug 28, 2025
BACKGROUND: To evaluate the precision of automated segmentation facilitated by deep learning (DL) and dose calculation in adaptive radiotherapy (ART) for nasopharyngeal cancer (NPC), leveraging synthetic CT (sCT) images derived from cone-beam CT (CBC...
AI-Driven Tai Chi mastery using deep learning framework for movement assessment and personalized training.
Scientific reports
Aug 28, 2025
This paper presents a novel system for optimizing Tai Chi movement training using computer vision and deep learning technologies. We developed a comprehensive framework incorporating multi-view pose estimation, temporal feature extraction, and real-t...
Research on optimal deep learning modeling in HaiNan dialect recognition.
Scientific reports
Aug 28, 2025
The speech recognition task of the HaiNan dialect faces significant differences in phonology, intonation, and grammatical structure among dialects, which in turn show significant regionalization characteristics, which makes the task of dialect-to-Man...
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