AIMC Topic:
Image Interpretation, Computer-Assisted

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Artificial intelligence in abdominal aortic aneurysm.

Journal of vascular surgery Feb 21, 2020
OBJECTIVE: Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only curative treatment relies on open or endovascular repair. The decision to treat relies on the evaluation of the risk of AAA growth and rupture, which can be diffic...
Risk Factors Risk Assessment Diagnosis, Computer-Assisted Decision Support Systems, Clinical Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Abdominal Patient Selection Image Interpretation, Computer-Assisted Humans Artificial Intelligence Decision Support Techniques Clinical Decision-Making
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Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis.

BioMed research international Feb 21, 2020
We aimed to assess the use of automatic machine learning (AutoML) algorithm based on magnetic resonance (MR) image data to assign prediction scores to patients with nasopharyngeal carcinoma (NPC). We also aimed to develop a 4-group classification sys...
Neoplasm Staging Humans Image Interpretation, Computer-Assisted Machine Learning Adult Nasopharyngeal Carcinoma Prognosis Male Retrospective Studies Nasopharyngeal Neoplasms Middle Aged Female Nasopharynx Magnetic Resonance Imaging
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Automatic Recognition of Laryngoscopic Images Using a Deep-Learning Technique.

The Laryngoscope Feb 18, 2020
OBJECTIVES/HYPOTHESIS: To develop a deep-learning-based computer-aided diagnosis system for distinguishing laryngeal neoplasms (benign, precancerous lesions, and cancer) and improve the clinician-based accuracy of diagnostic assessments of laryngosco...
Humans Sensitivity and Specificity Male Deep Learning Image Interpretation, Computer-Assisted Laryngoscopy Retrospective Studies Female Reproducibility of Results Adult Laryngeal Neoplasms Otolaryngologists
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Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Feb 17, 2020
BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures derived from computed tomography (CT) and F-FDG PET-CT (FDG PET-CT) images of non-small cell lung cancer (NSCLC) with and without epidermal growth factor ...
Predictive Value of Tests Positron Emission Tomography Computed Tomography Mutation Radiopharmaceuticals Image Interpretation, Computer-Assisted Fluorodeoxyglucose F18 ErbB Receptors Imaging Genomics Retrospective Studies Female Sensitivity and Specificity Humans Reproducibility of Results Male Machine Learning Aged Lung Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

Scientific reports Feb 17, 2020
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art comput...
Imaging, Three-Dimensional Esophagus Uterus Image Interpretation, Computer-Assisted Artifacts Algorithms Datasets as Topic Humans Female Stomach Neural Networks, Computer Urinary Bladder Endoscopy International Cooperation Male Colon
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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...
Support Vector Machine Male Magnetic Resonance Imaging Middle Aged Humans Brain Mapping Disease Progression Prognosis Image Interpretation, Computer-Assisted Depressive Disorder, Major Female Adult
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Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening.

Computer methods and programs in biomedicine Feb 15, 2020
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of hemorrhages and hard exudates, is one of the most prevalent causes of visual impairment and blindness. Early detection of hard exudates (HEs) in colo...
Databases, Factual Image Interpretation, Computer-Assisted Exudates and Transudates Humans Diabetic Retinopathy Machine Learning Algorithms
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An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis.

IEEE journal of biomedical and health informatics Feb 13, 2020
Automatic skin lesion analysis of dermoscopy images remains a challenging topic. In this paper, we propose an end-to-end multi-task deep learning framework for automatic skin lesion analysis. The proposed framework can perform skin lesion detection, ...
Skin Neoplasms Dermoscopy Deep Learning Image Interpretation, Computer-Assisted Humans Algorithms Databases, Factual Melanoma
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A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.

European journal of radiology Feb 13, 2020
PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining after surgery. In this study, a model to precisely immunohistochemical...
Aged Young Adult Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female Bayes Theorem Image Interpretation, Computer-Assisted Immunohistochemistry Adolescent Preoperative Care Magnetic Resonance Imaging Pituitary Gland Pituitary Neoplasms Adenoma
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Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.

Gastroenterology Feb 12, 2020
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objecti...
Image Interpretation, Computer-Assisted Colitis, Ulcerative Predictive Value of Tests Biopsy Remission Induction Middle Aged Humans Aged Colon Aged, 80 and over Databases, Factual Colonoscopy Young Adult Diagnosis, Computer-Assisted Prospective Studies Severity of Illness Index Adult Deep Learning Female Male Adolescent Reproducibility of Results Treatment Outcome Wound Healing
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