AIMC Topic: Algorithms

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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging.

Scientific reports Jul 15, 2025
Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet accurate and efficient segmentation remains a significant challenge due to complex tumor structures and variations in imaging modalities. Multi-feature ...
Machine Learning Algorithms Humans Brain Neoplasms Deep Learning Positron-Emission Tomography Image Processing, Computer-Assisted
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes.

Scientific reports Jul 15, 2025
Accurate identification of Oudemansiella raphanipes growth stages is crucial for understanding its development and optimizing cultivation. However, deep learning methods for this task remain unexplored. This paper introduces OR-FCOS, an enhanced full...
Algorithms Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Efficacy of swarm-based neural networks in automated depression detection.

Scientific reports Jul 15, 2025
As depression becomes a global pandemic, this research paper presents a comprehensive study for depression diagnosis using a custom-crafted deep learning model optimized with various swarm intelligence algorithms. Three different optimization algorit...
Depression Algorithms Deep Learning Humans Neural Networks, Computer
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Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Scientific reports Jul 15, 2025
Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complication, exerting substantial impacts on both short-term and long-term patient prognoses. The primary objective of our investigation was to develop a machin...
Heart Failure Colectomy Humans Postoperative Complications Risk Factors Machine Learning ROC Curve Male Algorithms Aged Middle Aged Female Colorectal Neoplasms
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Personalizing brain stimulation: continual learning for sleep spindle detection.

Journal of neural engineering Jul 15, 2025
Personalized stimulation, in which algorithms used to detect neural events adapt to a user's unique neural characteristics, may be crucial to enable optimized and consistent stimulation quality for both fundamental research and clinical applications....
Sleep Stages Deep Brain Stimulation Learning Sleep Brain Male Female Adult Precision Medicine Humans Electroencephalography Algorithms
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How large is the universe of RNA-like motifs? A clustering analysis of RNA graph motifs using topological descriptors.

PLoS computational biology Jul 15, 2025
Identifying novel and functional RNA structures remains a significant challenge in RNA motif design and is crucial for developing RNA-based therapeutics. Here we introduce a computational topology-based approach with unsupervised machine-learning alg...
Computational Biology Cluster Analysis Nucleic Acid Conformation Algorithms Nucleotide Motifs RNA
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Applying binary mixed model to predict knee osteoarthritis pain.

PloS one Jul 15, 2025
Data used to understand knee osteoarthritis (KOA) often involves knee-level, rather than person-level information. Failure to account for the correlation between joints within a person may lead to inaccurate inferences. The aim of this study was to d...
Algorithms Female Aged Humans Machine Learning Pain Measurement Knee Joint Pain Male Middle Aged Osteoarthritis, Knee
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Driven early detection of chronic kidney cancer disease based on machine learning technique.

PloS one Jul 15, 2025
In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal Cell Carcinoma (RCC) has become a significant prevalent among various kidney cancer conditions. The analysis of kidney cancer, an important and often ...
Image Processing, Computer-Assisted Renal Insufficiency, Chronic Kidney Neoplasms Carcinoma, Renal Cell Machine Learning Early Detection of Cancer Humans Algorithms Deep Learning
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Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods.

PloS one Jul 15, 2025
In complex geological environments, the morphology, orientation and distribution characteristics of cracks in the rock directly affect the stability assessment for rock masses and engineering safety decisions. However, the traditional manual interpre...
Image Processing, Computer-Assisted Geologic Sediments Geological Phenomena Algorithms Deep Learning
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Deep siamese residual support vector machine with applications to disease prediction.

Computers in biology and medicine Jul 14, 2025
Support Vector Machines (SVMs) excel in classification and regression tasks involving high-dimensional nonlinear data, boasting high accuracy, strong generalization ability, and robust performance. Particularly noteworthy is their outstanding perform...
Algorithms Deep Learning Support Vector Machine Humans Neural Networks, Computer
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