AIMC Topic: Deep Learning

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MAVSD: A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L.

Scientific data May 24, 2025
Recent advancements in computer vision and deep learning have advanced automated vegetation monitoring, creating new opportunities for invasive species management. To this end, we introduce MAVSD (Multi-Angle View Segmentation Dataset), specifically ...
Introduced Species Unmanned Aerial Devices Solidago Deep Learning Environmental Monitoring
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Role of artificial intelligence in cancer drug discovery and development.

Cancer letters May 23, 2025
The role of artificial intelligence (AI) in cancer drug discovery and development has garnered significant attention due to its potential to transform the traditionally time-consuming and expensive processes involved in bringing new therapies to mark...
Antineoplastic Agents Deep Learning Drug Development Humans Drug Design Artificial Intelligence Drug Discovery Machine Learning Neoplasms
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MSFusion: A multi-source hybrid feature fusion network for accurate grading of invasive breast cancer using H&E-stained histopathological images.

Medical image analysis May 23, 2025
Invasive breast cancer (IBC) is a prevalent malignant tumor in women, and precise grading plays a pivotal role in ensuring effective treatment and enhancing survival rates. However, accurately grading IBC presents a significant challenge due to its h...
Neoplasm Grading Image Interpretation, Computer-Assisted Breast Neoplasms Humans Deep Learning Neoplasm Invasiveness Female
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Accuracy and time efficiency of deep learning-based three-dimensional crown segmentation on intraoral scanning: a systematic review and meta-analysis.

Journal of dentistry May 23, 2025
OBJECTIVES: Clinically, accurate tooth segmentation in intraoral scans is vital for clinical diagnosis and treatments. Deep learning is utilized for image segmentation in mesh segmentation such as intraoral scans lately. This review and meta-analysis...
Tooth Crown Crowns Humans Deep Learning Imaging, Three-Dimensional
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Comparison of three classifiers in detection of obstruction of the lower urinary tract using recorded sounds of voiding.

Computers in biology and medicine May 23, 2025
The aim of this research is to help health care professionals to automatically detect lower urinary tract disorders using sounds of voiding recorded at home. In total 93 patients were diagnosed as obstructed or non-obstructed in a hospital using trad...
Middle Aged Deep Learning Support Vector Machine Humans Signal Processing, Computer-Assisted Urination Aged Neural Networks, Computer Sound Adult Lower Urinary Tract Symptoms Female Male
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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 Adult Depression Electroencephalography Male COVID-19 Middle Aged Female Depressive Disorder, Major Humans SARS-CoV-2 Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning
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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...
Microvascular Decompression Surgery Algorithms Deep Learning Image Processing, Computer-Assisted Bayes Theorem Semantics Microvessels Humans
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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...
Tomography, X-Ray Computed Female Aged Humans Prospective Studies ROC Curve Multiomics Hemorrhage Male Middle Aged Deep Learning Thrombectomy
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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...
Image Processing, Computer-Assisted Computational Biology Microscopy Cell Division Cell Tracking Neural Networks, Computer Humans Algorithms Deep Learning
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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...
Internet of Things Crops, Agricultural Plant Diseases Neural Networks, Computer Deep Learning Agriculture Cloud Computing Humans
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