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Self-supervised learning for medical image classification: a systematic review and implementation guidelines
Advancements in deep learning and computer vision provide promising solutions for medical image analysis, potentially improving healthcare and...
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A Multi-center Dental Panoramic Radiography Image Dataset for Impacted Teeth, Periodontitis, and Dental Caries: Benchmarking Segmentation and Classification Tasks
Panoramic radiography imaging plays a crucial role in the diagnostic process of dental diseases. However, current artificial intelligence research...
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An automatic classification of pulmonary nodules for lung cancer diagnosis using novel LLXcepNN classifier
IntroductionA critical step to ameliorate diagnosis and extend patient survival is Benign-malignant Pulmonary Nodule (PN) classification at earlier...
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The International Consensus Classification of myelodysplastic syndromes and related entities
The International Consensus Classification (ICC) of myeloid neoplasms and acute leukemia has updated the classification of myelodysplastic syndromes...
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Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET
BackgroundAccurate classification of sites of interest on prostate-specific membrane antigen (PSMA) positron emission tomography (PET) images is an...
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HDSNE a new unsupervised multiple image database fusion learning algorithm with flexible and crispy production of one database: a proof case study of lung infection diagnose In chest X-ray images
Continuous release of image databases with fully or partially identical inner categories dramatically deteriorates the production of autonomous...
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Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China
BackgroundMost previous studies on women of childbearing age have focused on reproductive health and fertility intentions, and evidence regarding the...
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The classification of flash visual evoked potential based on deep learning
BackgroundVisual electrophysiology is an objective visual function examination widely used in clinical work and medical identification that can...
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Hybrid Optimization Algorithm Enabled Deep Learning Approach Brain Tumor Segmentation and Classification Using MRI
The unnatural and uncontrolled increase of brain cells is called brain tumors, leading to human health danger. Magnetic resonance imaging (MRI) is...
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Comparison of machine learning algorithms for the classification of spinal cord tumor
Spinal cord Tumor has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a...
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Identification of inflammatory subgroups of schizophrenia and bipolar disorder patients with HERV-W ENV antigenemia by unsupervised cluster analysis
Human endogenous retroviruses (HERVs) are remnants of infections that took place several million years ago and represent around 8% of the human...
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Deep Learning Body Region Classification of MRI and CT Examinations
This study demonstrates the high performance of deep learning in identification of body regions covering the entire human body from magnetic...
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A novel genomic classification system of gastric cancer via integrating multidimensional genomic characteristics
BackgroundGastric cancer (GC) is one of the leading causes of cancer deaths with high heterogeneity. There is currently a paucity of clinically...
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Stratifying Mortality Risk in Intensive Care: A Comprehensive Analysis Using Cluster Analysis and Classification and Regression Tree Algorithms
BackgroundMachine learning (ML) can be promising for stratifying patients into homogeneous groups and assessing mortality based on score combination....
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A deep learning pipeline for automated classification of vocal fold polyps in flexible laryngoscopy
PurposeTo develop and validate a deep learning model for distinguishing healthy vocal folds (HVF) and vocal fold polyps (VFP) on laryngoscopy videos,...
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Morphologic and molecular classification of lung neuroendocrine neoplasms
Neuroendocrine neoplasms (NENs) of the lung encompass neuroendocrine tumors (NETs) composed of typical (TC) and atypical (AC) carcinoids and...
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A systematic review of machine learning models for management, prediction and classification of ARDS
AimAcute respiratory distress syndrome or ARDS is an acute, severe form of respiratory failure characterised by poor oxygenation and bilateral...
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Classification prediction of early pulmonary nodes based on weighted gene correlation network analysis and machine learning
ObjectiveTo use weighted gene correlation network analysis (WGCNA) and machine learning algorithm to predict classification of early pulmonary nodes...
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Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)
BackgroundNuclei classification, segmentation, and detection from pathological images are challenging tasks due to cellular heterogeneity in the...
