AIMC Topic:
Image Interpretation, Computer-Assisted

Clear Filters Showing 1381 to 1390 of 2720 articles

Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer.

The journal of pathology. Clinical research Jun 27, 2020
The biological complexity reflected in histology images requires advanced approaches for unbiased prognostication. Machine learning and particularly deep learning methods are increasingly applied in the field of digital pathology. In this study, we p...
Time Factors Cell Proliferation Humans Predictive Value of Tests Risk Factors Antigens, CD Tissue Array Analysis Neoplasm Staging Stomach Neoplasms Antigens, Differentiation, Myelomonocytic CD8 Antigens Image Interpretation, Computer-Assisted Immunohistochemistry Antigens, CD20 Ki-67 Antigen Tumor Microenvironment Biomarkers, Tumor Risk Assessment Deep Learning
View on PubMed DOI

A machine learning-based prognostic predictor for stage III colon cancer.

Scientific reports Jun 25, 2020
Limited biomarkers have been identified as prognostic predictors for stage III colon cancer. To combat this shortfall, we developed a computer-aided approach which combing convolutional neural network with machine classifier to predict the prognosis ...
Humans Machine Learning Prognosis Female Risk Factors Aged Aged, 80 and over Middle Aged Young Adult Neoplasm Recurrence, Local Risk Assessment Adult Colonic Neoplasms Colon Male Colectomy Disease-Free Survival Follow-Up Studies Kaplan-Meier Estimate Image Interpretation, Computer-Assisted Neoplasm Staging
View on PubMed DOI

A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.

Journal of the American Academy of Dermatology Jun 23, 2020
Proof of Concept Study Frozen Sections Mohs Surgery Humans ROC Curve Retrospective Studies Skin Neoplasms Skin Carcinoma, Basal Cell Deep Learning Pilot Projects Feasibility Studies Image Interpretation, Computer-Assisted False Negative Reactions
View on PubMed DOI

Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative.

Radiology Jun 23, 2020
Background The methods for assessing knee osteoarthritis (OA) do not provide enough comprehensive information to make robust and accurate outcome predictions. Purpose To develop a deep learning (DL) prediction model for risk of OA progression by usin...
Osteoarthritis, Knee Deep Learning Radiography Knee Joint Arthroplasty, Replacement, Knee Image Interpretation, Computer-Assisted Risk Factors Aged Humans Male Middle Aged Retrospective Studies Female
View on PubMed DOI

Deep learning using electrocardiographs.

The Lancet. Digital health Jun 23, 2020
Signal Processing, Computer-Assisted Heart Diseases Image Interpretation, Computer-Assisted Humans Artificial Intelligence Deep Learning Electrocardiography
View on PubMed DOI

Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders.

Nature biomedical engineering Jun 22, 2020
The development of artificial intelligence algorithms typically demands abundant high-quality data. In medicine, the datasets that are required to train the algorithms are often collected for a single task, such as image-level classification. Here, w...
Slit Lamp Microscopy Humans Algorithms Prospective Studies Retrospective Studies Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Eye Diseases
View on PubMed DOI

Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans.

Medical & biological engineering & computing Jun 21, 2020
Automatic and reliable prostate segmentation is an essential prerequisite for assisting the diagnosis and treatment, such as guiding biopsy procedure and radiation therapy. Nonetheless, automatic segmentation is challenging due to the lack of clear p...
Databases, Factual Male Deep Learning Latent Class Analysis Imaging, Three-Dimensional Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging Models, Statistical Prostatic Neoplasms Image Interpretation, Computer-Assisted
View on PubMed DOI

The future of pathology is digital.

Pathology, research and practice Jun 20, 2020
Information, archives, and intelligent artificial systems are part of everyday life in modern medicine. They already support medical staff by mapping their workflows with shared availability of cases' referral information, as needed for example, by t...
Artificial Intelligence Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Workflow Pathologists Pathology
View on PubMed DOI

Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.

Medical science monitor : international medical journal of experimental and clinical research Jun 18, 2020
BACKGROUND Thyroid nodules are extremely common and typically diagnosed with ultrasound whether benign or malignant. Imaging diagnosis assisted by Artificial Intelligence has attracted much attention in recent years. The aim of our study was to build...
Middle Aged Deep Learning Adolescent Thyroid Neoplasms Ultrasonography Aged, 80 and over Young Adult Adult Male Carcinoma, Neuroendocrine Image Interpretation, Computer-Assisted Adenocarcinoma, Follicular Thyroid Cancer, Papillary Goiter, Nodular Thyroid Nodule Humans Thyroid Carcinoma, Anaplastic Female Adenoma Aged Granuloma
View on PubMed DOI

Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study.

Gastroenterology Jun 17, 2020
BACKGROUND AND AIMS: Up to 30% of adenomas might be missed during screening colonoscopy-these could be polyps that appear on-screen but are not recognized by endoscopists or polyps that are in locations that do not appear on the screen at all. Comput...
Humans Prospective Studies Female Reproducibility of Results Aged Predictive Value of Tests Colonoscopy Colonic Neoplasms Diagnosis, Computer-Assisted Colonic Polyps Deep Learning Image Interpretation, Computer-Assisted China Adenomatous Polyps Adolescent Missed Diagnosis Young Adult Adult Male Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals