AIMC Topic: Deep Learning

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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.

Scientific reports May 23, 2025
Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using electroencephalogram (EEG) and deep learning. To tackle this, we developed a cloud-based computer-aided depression diagnostic (CCADD) system that utiliz...
Wavelet Analysis Cloud Computing Deep Learning Depression Electroencephalography Depressive Disorder, Major Diagnosis, Computer-Assisted COVID-19 Humans Female Adult Neural Networks, Computer SARS-CoV-2 Male Middle Aged
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EnsembleEdgeFusion: advancing semantic segmentation in microvascular decompression imaging with innovative ensemble techniques.

Scientific reports May 23, 2025
Semantic segmentation involves an imminent part in the investigation of medical images, particularly in the domain of microvascular decompression, where publicly available datasets are scarce, and expert annotation is demanding. In response to this c...
Microvessels Microvascular Decompression Surgery Bayes Theorem Semantics Humans Algorithms Deep Learning Image Processing, Computer-Assisted
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Development and validation of a multi-omics hemorrhagic transformation model based on hyperattenuated imaging markers following mechanical thrombectomy.

Scientific reports May 23, 2025
This study aimed to develop a predictive model integrating clinical, radiomics, and deep learning (DL) features of hyperattenuated imaging markers (HIM) from computed tomography scans immediately following mechanical thrombectomy (MT) to predict hemo...
Humans Aged Male Middle Aged Prospective Studies Tomography, X-Ray Computed Female Multiomics Hemorrhage Thrombectomy Deep Learning ROC Curve
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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.

PLoS computational biology May 23, 2025
Deep learning-based methods for identifying and tracking cells within microscopy images have revolutionized the speed and throughput of data analysis. These methods for analyzing biological and medical data have capitalized on advances from the broad...
Cell Tracking Microscopy Humans Cell Division Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Computational Biology
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An intelligent framework for crop health surveillance and disease management.

PloS one May 23, 2025
The agricultural sector faces critical challenges, including significant crop losses due to undetected plant diseases, inefficient monitoring systems, and delays in disease management, all of which threaten food security worldwide. Traditional approa...
Humans Neural Networks, Computer Crops, Agricultural Plant Diseases Cloud Computing Deep Learning Agriculture Internet of Things
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A novel framework for inferring dynamic infectious disease transmission with graph attention: a COVID-19 case study in Korea.

BMC public health May 22, 2025
INTRODUCTION: Epidemic modeling is crucial for understanding and predicting infectious disease spread. To capture the complexity of real-world transmission, dynamic interactions between individuals with spatial heterogeneity must be considered. This ...
Epidemiological Models Humans Republic of Korea COVID-19 SARS-CoV-2 Deep Learning
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Imputing single-cell protein abundance in multiplex tissue imaging.

Nature communications May 22, 2025
Multiplex tissue imaging enables single-cell spatial proteomics and transcriptomics but remains limited by incomplete molecular profiling, tissue loss, and probe failure. Here, we apply machine learning to impute single-cell protein abundance using m...
Proteomics Humans Single-Cell Analysis Machine Learning Female Image Processing, Computer-Assisted Breast Neoplasms Deep Learning
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Revealing 3D microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual H&E staining.

Nature communications May 22, 2025
In histopathology, acquiring subcellular-level three-dimensional (3D) tissue structures efficiently and without damaging the tissues during serial sectioning and staining remains a formidable challenge. We address this by integrating holotomography w...
Humans Reproducibility of Results Staining and Labeling Colonic Neoplasms Holography Eosine Yellowish-(YS) Stomach Neoplasms Hematoxylin Deep Learning Imaging, Three-Dimensional
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Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education.

JMIR human factors May 22, 2025
Traditional medical education encounters several challenges. The introduction of advanced facial expression recognition technology offers a new approach to address these issues. The aim of the study is to propose a medical education-assisted teaching...
Humans Students, Medical Deep Learning Automated Facial Recognition Teaching Education, Medical Facial Expression
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EFCRFNet: A novel multi-scale framework for salient object detection.

PloS one May 22, 2025
Salient Object Detection (SOD) is a fundamental task in computer vision, aiming to identify prominent regions within images. Traditional methods and deep learning-based models often encounter challenges in capturing crucial information in complex sce...
Image Processing, Computer-Assisted Pattern Recognition, Automated Humans Algorithms Deep Learning
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