AIMC Topic: Algorithms

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Enhancing the diagnostic accuracy of colorectal cancer through the integration of serum tumor markers and hematological indicators with machine learning algorithms.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Jun 20, 2024
BACKGROUND: Colorectal cancer has a high incidence and mortality rate due to a low rate of early diagnosis. Therefore, efficient diagnostic methods are urgently needed.
alpha-Fetoproteins Carcinoembryonic Antigen CA-19-9 Antigen Middle Aged Case-Control Studies ROC Curve CA-125 Antigen Antigens, Tumor-Associated, Carbohydrate Female Aged Adult Colorectal Neoplasms Biomarkers, Tumor Male Humans Machine Learning Algorithms
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Development and validation of machine learning models to predict perioperative transfusion risk for hip fractures in the elderly.

Annals of medicine Jun 20, 2024
BACKGROUND: Patients with hip fractures frequently need to receive perioperative transfusions of concentrated red blood cells due to preoperative anemia or surgical blood loss. However, the use of perioperative blood products increases the risk of ad...
Blood Transfusion Hip Fractures Perioperative Care Female Risk Factors Aged Aged, 80 and over Male Humans Risk Assessment Machine Learning Blood Loss, Surgical Algorithms
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Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
Multi-Modal Entity Alignment (MMEA), aiming to discover matching entity pairs on two multi-modal knowledge graphs (MMKGs), is an essential task in knowledge graph fusion. Through mining feature information of MMKGs, entities are aligned to tackle the...
Humans Data Mining Knowledge Neural Networks, Computer Algorithms
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VascuConNet: an enhanced connectivity network for vascular segmentation.

Medical & biological engineering & computing Jun 20, 2024
Medical image segmentation commonly involves diverse tissue types and structures, including tasks such as blood vessel segmentation and nerve fiber bundle segmentation. Enhancing the continuity of segmentation outcomes represents a pivotal challenge ...
Algorithms Databases, Factual Image Processing, Computer-Assisted Retinal Vessels Humans Neural Networks, Computer
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Cluster-CAM: Cluster-weighted visual interpretation of CNNs' decision in image classification.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
Despite the tremendous success of convolutional neural networks (CNNs) in computer vision, the mechanism of CNNs still lacks clear interpretation. Currently, class activation mapping (CAM), a famous visualization technique to interpret CNN's decision...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Humans Cognition Cluster Analysis
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Clothing-invariant contrastive learning for unsupervised person re-identification.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
Clothing change person re-identification (CC-ReID) aims to match images of the same person wearing different clothes across diverse scenes. Leveraging biological features or clothing labels, existing CC-ReID methods have demonstrated promising perfor...
Clothing Unsupervised Machine Learning Semantics Biometric Identification Neural Networks, Computer Humans Algorithms Image Processing, Computer-Assisted Cluster Analysis
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From plan to delivery: Machine learning based positional accuracy prediction of multi-leaf collimator and estimation of delivery effect in volumetric modulated arc therapy.

Journal of applied clinical medical physics Jun 20, 2024
PURPOSE: The positional accuracy of MLC is an important element in establishing the exact dosimetry in VMAT. We comprehensively analyzed factors that may affect MLC positional accuracy in VMAT, and constructed a model to predict MLC positional deviat...
Radiotherapy, Intensity-Modulated Particle Accelerators Organs at Risk Humans Machine Learning Radiotherapy Planning, Computer-Assisted Algorithms Radiotherapy Dosage Neoplasms
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Intelligent deep model based on convolutional neural network's and multi-layer perceptron to classify cardiac abnormality in diabetic patients.

Physical and engineering sciences in medicine Jun 20, 2024
The ECG is a crucial tool in the medical field for recording the heartbeat signal over time, aiding in the identification of various cardiac diseases. Commonly, the interpretation of ECGs necessitates specialized knowledge. However, this paper explor...
Neural Networks, Computer Algorithms Deep Learning Electrocardiography Humans Diabetes Mellitus Signal Processing, Computer-Assisted Heart Diseases
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Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen.

AJR. American journal of roentgenology Jun 20, 2024
Artificial intelligence (AI) algorithms improved detection of incidental pulmonary embolism (IPE) on contrast-enhanced CT (CECT) examinations in retrospective studies; however, prospective validation studies are lacking. The purpose of this study w...
Pulmonary Embolism Radiography, Thoracic Radiography, Abdominal Prospective Studies Middle Aged Tomography, X-Ray Computed Contrast Media Female Triage Humans Adult Aged Artificial Intelligence Incidental Findings Male Aged, 80 and over Algorithms
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Bluish veil detection and lesion classification using custom deep learnable layers with explainable artificial intelligence (XAI).

Computers in biology and medicine Jun 20, 2024
Melanoma, one of the deadliest types of skin cancer, accounts for thousands of fatalities globally. The bluish, blue-whitish, or blue-white veil (BWV) is a critical feature for diagnosing melanoma, yet research into detecting BWV in dermatological im...
Artificial Intelligence Algorithms Databases, Factual Melanoma Skin Neoplasms Dermoscopy Humans Neural Networks, Computer Deep Learning Skin Image Interpretation, Computer-Assisted
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