AIMC Topic: Female

Clear Filters Showing 20791 to 20800 of 29210 articles

Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.

Asian Pacific journal of cancer prevention : APJCP Sep 26, 2018
Objective: Breast Cancer is the most invasive disease and fatal disease next to lung cancer in human. Early detection of breast cancer is accomplished by X-ray mammography. Mammography is the most effective and efficient technique used for detection ...
Humans Neural Networks, Computer Algorithms Wavelet Analysis Databases, Factual Female Diagnostic Errors Breast Neoplasms Diagnosis, Computer-Assisted Mammography Image Interpretation, Computer-Assisted Image Enhancement
View on PubMed DOI

Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 26, 2018
Accurate localization of structural abnormalities is a precursor for image-based prenatal assessment of adverse conditions. For clinical screening and diagnosis of abnormally invasive placenta (AIP), a life-threatening obstetric condition, qualitativ...
Ultrasonography Humans Pregnancy Placenta Female Pattern Recognition, Automated Machine Learning Reproducibility of Results Algorithms Sensitivity and Specificity
View on PubMed DOI

Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data.

Journal of magnetic resonance imaging : JMRI Sep 25, 2018
BACKGROUND: A current challenge in osteoporosis is identifying patients at risk of bone fracture.
Humans Machine Learning Algorithms Prospective Studies Cross-Sectional Studies Middle Aged Case-Control Studies ROC Curve Osteoporosis Female Reproducibility of Results Aged Image Processing, Computer-Assisted Body Mass Index Magnetic Resonance Imaging Linear Models Osteoporotic Fractures
View on PubMed DOI

Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.

European radiology Sep 25, 2018
OBJECTIVES: To predict cavernous sinus (CS) invasion by pituitary adenomas (PAs) pre-operatively using a radiomics method based on contrast-enhanced T1 (CE-T1) and T2-weighted magnetic resonance (MR) imaging.
Adenoma Area Under Curve Cavernous Sinus Contrast Media Magnetic Resonance Imaging Neoplasm Invasiveness Pituitary Neoplasms Middle Aged Nomograms Support Vector Machine Humans Retrospective Studies Female Risk Factors Aged Adult Male
View on PubMed DOI

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Radiology Sep 25, 2018
Purpose To develop and validate a deep learning-based automatic detection algorithm (DLAD) for malignant pulmonary nodules on chest radiographs and to compare its performance with physicians including thoracic radiologists. Materials and Methods For ...
Retrospective Studies Multiple Pulmonary Nodules Female Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Radiography, Thoracic Aged Middle Aged Aged, 80 and over Humans Deep Learning Young Adult Algorithms Adolescent Adult Lung Neoplasms Male
View on PubMed DOI

Combining Desorption Electrospray Ionization Mass Spectrometry Imaging and Machine Learning for Molecular Recognition of Myocardial Infarction.

Analytical chemistry Sep 25, 2018
Lipid profile changes in heart muscle have been previously linked to cardiac ischemia and myocardial infarction, but the spatial distribution of lipids and metabolites in ischemic heart remains to be fully investigated. We performed desorption electr...
Myocardial Infarction Female Spectrometry, Mass, Electrospray Ionization Machine Learning Molecular Imaging Animals Fatty Acids, Unsaturated Mice Molecular Structure
View on PubMed DOI

Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study.

Journal of medical Internet research Sep 25, 2018
BACKGROUND: Artificial intelligence (AI) is developing quickly in the medical field and can benefit both medical staff and patients. The clinical decision support system Watson for Oncology (WFO) is an outstanding representative AI in the medical fie...
Male China Lung Neoplasms Feasibility Studies Medical Oncology Humans Artificial Intelligence Retrospective Studies Female
View on PubMed DOI

Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignancies.

Cancer communications (London, England) Sep 25, 2018
BACKGROUND: Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperplasia, the positive rate for malignancy identification during biopsy is low, thus leading to delayed or missed diagnosis for nasopharyngeal mali...
Deep Learning Image Processing, Computer-Assisted Nasopharyngeal Neoplasms Humans Female Endoscopy Male Middle Aged
View on PubMed DOI

Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.

IEEE journal of biomedical and health informatics Sep 24, 2018
Age estimation from radiologic data is an important topic both in clinical medicine as well as in forensic applications, where it is used to assess unknown chronological age or to discriminate minors from adults. In this paper, we propose an automati...
Image Interpretation, Computer-Assisted Tooth Humans Age Determination by Skeleton Male Neural Networks, Computer Hand Bones Clavicle Female Adolescent Young Adult Magnetic Resonance Imaging Adult
View on PubMed DOI

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images.

IEEE transactions on medical imaging Sep 24, 2018
We propose a framework for localization and classification of masses in breast ultrasound images. We have experimentally found that training convolutional neural network-based mass detectors with large, weakly annotated datasets presents a non-trivia...
Ultrasonography Image Processing, Computer-Assisted Supervised Machine Learning Humans Neural Networks, Computer Republic of Korea Algorithms Female Breast Neoplasms Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals