AIMC Topic: Support Vector Machine

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Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.

European radiology Feb 17, 2020
PURPOSE: To develop and identify a MRI-based radiomics nomogram for the preoperative prediction of parametrial invasion (PMI) in patients with early-stage cervical cancer (ECC).
Reproducibility of Results Aged Adult Uterine Cervical Neoplasms Middle Aged Nomograms Algorithms Retrospective Studies Female Hysterectomy Informatics Humans Neoplasm Invasiveness Diffusion Magnetic Resonance Imaging Neoplasm Grading Support Vector Machine Peritoneum Age Factors Magnetic Resonance Imaging
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Predicting individual clinical trajectories of depression with generative embedding.

NeuroImage. Clinical Feb 17, 2020
Patients with major depressive disorder (MDD) show heterogeneous treatment response and highly variable clinical trajectories: while some patients experience swift recovery, others show relapsing-remitting or chronic courses. Predicting individual cl...
Adult Male Middle Aged Disease Progression Magnetic Resonance Imaging Humans Depressive Disorder, Major Brain Mapping Prognosis Support Vector Machine Image Interpretation, Computer-Assisted Female
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Letter to the editor "Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm".

Environmental science and pollution research international Feb 14, 2020
Geologic Sediments Support Vector Machine Rivers
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Identification of patients with and without minimal hepatic encephalopathy based on gray matter volumetry using a support vector machine learning algorithm.

Scientific reports Feb 12, 2020
Minimal hepatic encephalopathy (MHE) is characterized by diffuse abnormalities in cerebral structure, such as reduced cortical thickness and altered brain parenchymal volume. This study tested the potential of gray matter (GM) volumetry to differenti...
Middle Aged Support Vector Machine Magnetic Resonance Imaging Female Adult Male Gray Matter Hepatic Encephalopathy Humans
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Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM.

Scientific reports Feb 11, 2020
Currently, the application of deep learning in crop disease classification is one of the active areas of research for which an image dataset is required. Eggplant (Solanum melongena) is one of the important crops, but it is susceptible to serious dis...
Algorithms Image Processing, Computer-Assisted Support Vector Machine Plant Leaves Plant Diseases Neural Networks, Computer Solanum melongena Machine Learning
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The Prediction of Human Abdominal Adiposity Based on the Combination of a Particle Swarm Algorithm and Support Vector Machine.

International journal of environmental research and public health Feb 10, 2020
: Abdominal adiposity is an important risk factor of chronic cardiovascular diseases, thus the prediction of abdominal adiposity and obesity can reduce the risks of contracting such diseases. However, the current prediction models display low accurac...
Algorithms Risk Factors Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Adiposity Support Vector Machine Predictive Value of Tests Obesity, Abdominal
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Investigating the gene expression profiles of cells in seven embryonic stages with machine learning algorithms.

Genomics Feb 8, 2020
The development of embryonic cells involves several continuous stages, and some genes are related to embryogenesis. To date, few studies have systematically investigated changes in gene expression profiles during mammalian embryogenesis. In this stud...
Embryo, Mammalian Embryonic Development Single-Cell Analysis Mice Support Vector Machine Animals Gene Expression Profiling Transcriptome Machine Learning
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Towards automated generation of curated datasets in radiology: Application of natural language processing to unstructured reports exemplified on CT for pulmonary embolism.

European journal of radiology Feb 6, 2020
PURPOSE: To design and evaluate a self-trainable natural language processing (NLP)-based procedure to classify unstructured radiology reports. The method enabling the generation of curated datasets is exemplified on CT pulmonary angiogram (CTPA) repo...
Tomography, X-Ray Computed Datasets as Topic Female Pulmonary Artery Aged Humans Neural Networks, Computer Area Under Curve Retrospective Studies Male Pulmonary Embolism Support Vector Machine Image Interpretation, Computer-Assisted Natural Language Processing
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K-Anonymity inspired adversarial attack and multiple one-class classification defense.

Neural networks : the official journal of the International Neural Network Society Feb 6, 2020
A novel adversarial attack methodology for fooling deep neural network classifiers in image classification tasks is proposed, along with a novel defense mechanism to counter such attacks. Two concepts are introduced, namely the K-Anonymity-inspired A...
Neural Networks, Computer Image Processing, Computer-Assisted Support Vector Machine
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A quantitative model based on clinically relevant MRI features differentiates lower grade gliomas and glioblastoma.

European radiology Feb 5, 2020
OBJECTIVES: To establish a quantitative MR model that uses clinically relevant features of tumor location and tumor volume to differentiate lower grade glioma (LRGG, grades II and III) and glioblastoma (GBM, grade IV).
Adult Brain Neoplasms Male Humans Machine Learning Female Diagnosis, Differential Glioblastoma Neoplasm Staging Tumor Burden Glioma Support Vector Machine Magnetic Resonance Imaging
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