AIMC Topic: Sensitivity and Specificity

Clear Filters Showing 1141 to 1150 of 2878 articles

Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.

American journal of ophthalmology Jan 8, 2021
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Retinal Drusen Choroidal Neovascularization Geographic Atrophy Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Recombinant Fusion Proteins Ranibizumab Wet Macular Degeneration Receptors, Vascular Endothelial Growth Factor Deep Learning ROC Curve Angiogenesis Inhibitors Models, Statistical Aged, 80 and over Sensitivity and Specificity Male Middle Aged Neural Networks, Computer Female Aged Humans
View on PubMed DOI

Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system.

European journal of radiology Jan 8, 2021
PURPOSE: To study the effect of different reconstruction parameter settings on the performance of a commercially available deep learning based pulmonary nodule CAD system.
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity Lung Radiation Dosage Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Deep learning-based classification of lower extremity arterial stenosis in computed tomography angiography.

European journal of radiology Jan 8, 2021
PURPOSE: The purpose of this study is to develop and evaluate a deep learning model to assist radiologists in classifying lower extremity arteries based on the degree of arterial stenosis caused by plaque in lower extremity computed tomography angiog...
Deep Learning Lower Extremity Humans Constriction, Pathologic Retrospective Studies Computed Tomography Angiography Angiography, Digital Subtraction Sensitivity and Specificity
View on PubMed DOI

Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.

Chinese medical journal Jan 7, 2021
BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, ad...
Area Under Curve Breast Breast Neoplasms Deep Learning China ROC Curve Humans Sensitivity and Specificity
View on PubMed DOI

Deep learning model for classifying endometrial lesions.

Journal of translational medicine Jan 6, 2021
BACKGROUND: Hysteroscopy is a commonly used technique for diagnosing endometrial lesions. It is essential to develop an objective model to aid clinicians in lesion diagnosis, as each type of lesion has a distinct treatment, and judgments of hysterosc...
Pregnancy Female Sensitivity and Specificity Deep Learning Humans Uterine Diseases China Endometrial Neoplasms Hysteroscopy Endometrial Hyperplasia
View on PubMed DOI

Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning.

JAMA network open Jan 4, 2021
IMPORTANCE: Occult peritoneal metastasis frequently occurs in patients with advanced gastric cancer and is poorly diagnosed with currently available tools. Because the presence of peritoneal metastasis precludes the possibility of curative surgery, t...
Humans Retrospective Studies Tomography, X-Ray Computed Female Deep Learning China Stomach Neoplasms Predictive Value of Tests Sensitivity and Specificity Peritoneal Neoplasms Male Middle Aged
View on PubMed DOI

Fast automated detection of COVID-19 from medical images using convolutional neural networks.

Communications biology Jan 4, 2021
Coronavirus disease 2019 (COVID-19) is a global pandemic posing significant health risks. The diagnostic test sensitivity of COVID-19 is limited due to irregularities in specimen handling. We propose a deep learning framework that identifies COVID-19...
Reverse Transcriptase Polymerase Chain Reaction Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Tomography, X-Ray Computed COVID-19 SARS-CoV-2 Algorithms Sensitivity and Specificity Deep Learning
View on PubMed DOI

An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm.

International journal of legal medicine Jan 3, 2021
Seasonal or monthly databases of the diatom populations in specific bodies of water are needed to infer the drowning site of a drowned body. However, existing diatom testing methods are laborious, time-consuming, and costly and usually require specif...
Databases, Factual Sensitivity and Specificity Animals Lung Neural Networks, Computer Artificial Intelligence Rivers Models, Animal Diatoms Forensic Pathology China Drowning Rats Rats, Sprague-Dawley Seasons
View on PubMed DOI

Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics.

PloS one Dec 31, 2020
BACKGROUND: The diagnosis of gastric cancer mainly relies on endoscopy, which is invasive and costly. The aim of this study is to develop a predictive model for the diagnosis of gastric cancer based on noninvasive characteristics.
Middle Aged Stomach Neoplasms Humans Sensitivity and Specificity Kidney Function Tests Blood Cell Count Machine Learning Predictive Value of Tests Biomarkers, Tumor Liver Function Tests Female CA-19-9 Antigen CA-125 Antigen Male Aged
View on PubMed DOI

Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers.

Cancer research Dec 21, 2020
Whole-slide histology images contain information that is valuable for clinical and basic science investigations of cancer but extracting quantitative measurements from these images is challenging for researchers who are not image analysis specialists...
Female Medical Oncology Melanoma Datasets as Topic Skin Neoplasms Reproducibility of Results Humans Image Processing, Computer-Assisted Machine Learning Sensitivity and Specificity Lymphocytes, Tumor-Infiltrating Predictive Value of Tests Software Breast Neoplasms Melanoma, Cutaneous Malignant Algorithms Biomedical Research Image Interpretation, Computer-Assisted Prognosis Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals