AIMC Topic: Supervised Machine Learning

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NeuroNasal: Advanced AI-Driven Self-Supervised Learning Approach for Enhanced Sinonasal Pathology Detection.

Sensors (Basel, Switzerland) Apr 8, 2025
Sinus diseases are inflammations or infections of the sinuses that significantly impact patient quality of life. They cause nasal congestion, facial pain, headaches, thick nasal discharge, and a reduced sense of smell. However, accurately diagnosing ...
Algorithms Tomography, X-Ray Computed Humans Artificial Intelligence Paranasal Sinuses Magnetic Resonance Imaging Supervised Machine Learning
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Artificial intelligence strategies based on random forests for detection of AI-generated content in public health.

Public health Apr 7, 2025
OBJECTIVES: To train and test a Random Forest machine learning model with the ability to distinguish AI-generated from human-generated textual content in the domain of public health, and public health policy.
Random Forest Supervised Machine Learning Machine Learning Public Health Humans Artificial Intelligence
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MedScale-Former: Self-guided multiscale transformer for medical image segmentation.

Medical image analysis Apr 4, 2025
Accurate medical image segmentation is crucial for enabling automated clinical decision procedures. However, existing supervised deep learning methods for medical image segmentation face significant challenges due to their reliance on extensive label...
Humans Algorithms Supervised Machine Learning Image Interpretation, Computer-Assisted Multiple Myeloma Deep Learning Image Processing, Computer-Assisted
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ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation.

IEEE journal of biomedical and health informatics Apr 4, 2025
Weakly-supervised segmentation (WSS) has emerged as a solution to mitigate the conflict between annotation cost and model performance by adopting sparse annotation formats (e.g., point, scribble, block, etc.). Typical approaches attempt to exploit an...
Image Processing, Computer-Assisted Calibration Humans Supervised Machine Learning Algorithms
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Self-Supervised Multi-Scale Multi-Modal Graph Pool Transformer for Sellar Region Tumor Diagnosis.

IEEE journal of biomedical and health informatics Apr 4, 2025
The sellar region tumor is a brain tumor that only exists in the brain sellar, which affects the central nervous system. The early diagnosis of the sellar region tumor subtypes helps clinicians better understand the best treatment and recovery of pat...
Sella Turcica Supervised Machine Learning Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Pituitary Neoplasms Algorithms Brain Neoplasms Humans
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Prior Visual-Guided Self-Supervised Learning Enables Color Vignetting Correction for High-Throughput Microscopic Imaging.

IEEE journal of biomedical and health informatics Apr 4, 2025
Vignetting constitutes a prevalent optical degradation that significantly compromises the quality of biomedical microscopic imaging. However, a robust and efficient vignetting correction methodology in multi-channel microscopic images remains absent ...
Color Supervised Machine Learning Deep Learning Image Processing, Computer-Assisted Microscopy Humans Algorithms Animals
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Aceso-DSAL: Discovering Clinical Evidences From Medical Literature Based on Distant Supervision and Active Learning.

IEEE journal of biomedical and health informatics Apr 4, 2025
Automatic extraction of valuable, structured evidence from the exponentially growing clinical trial literature can help physicians practice evidence-based medicine quickly and accurately. However, current research on evidence extraction has been limi...
Algorithms Databases, Factual Natural Language Processing Humans Evidence-Based Medicine Supervised Machine Learning Data Mining
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Pyramid Pixel Context Adaption Network for Medical Image Classification With Supervised Contrastive Learning.

IEEE transactions on neural networks and learning systems Apr 4, 2025
Spatial attention (SA) mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency modeling. However, it may perform poorly in medical image analysi...
Diagnostic Imaging Neural Networks, Computer Algorithms Supervised Machine Learning Deep Learning Image Processing, Computer-Assisted Humans
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Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy.

PloS one Apr 4, 2025
Additive friction stir deposition (AFSD) is a novel solid-state additive manufacturing technique that circumvents issues of porosity, cracking, and properties anisotropy that plague traditional powder bed fusion and directed energy deposition approac...
Aluminum Algorithms Supervised Machine Learning Temperature Alloys Neural Networks, Computer Friction Machine Learning
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HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization.

IEEE transactions on medical imaging Apr 3, 2025
Tissue semantic segmentation is one of the key tasks in computational pathology. To avoid the expensive and laborious acquisition of pixel-level annotations, a wide range of studies attempt to adopt the class activation map (CAM), a weakly-supervised...
Image Processing, Computer-Assisted Supervised Machine Learning Algorithms Humans Databases, Factual
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