AIMC Topic: Radiographic Image Enhancement

Clear Filters Showing 41 to 50 of 104 articles

Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography.

Occupational and environmental medicine May 29, 2020
OBJECTIVES: To investigate the potential of deep learning in assessing pneumoconiosis depicted on digital chest radiographs and to compare its performance with certified radiologists.
Aged Male Middle Aged Deep Learning Retrospective Studies Female Reproducibility of Results Dust Radiologists Radiography, Thoracic Radiographic Image Enhancement China ROC Curve Occupational Exposure Pneumoconiosis Humans Neural Networks, Computer
View on PubMed DOI

Learning deformable registration of medical images with anatomical constraints.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2020
Deformable image registration is a fundamental problem in the field of medical image analysis. During the last years, we have witnessed the advent of deep learning-based image registration methods which achieve state-of-the-art performance, and drast...
Humans Deep Learning Radiographic Image Enhancement
View on PubMed DOI

DBT Masses Automatic Segmentation Using U-Net Neural Networks.

Computational and mathematical methods in medicine Jan 28, 2020
To improve the automatic segmentation accuracy of breast masses in digital breast tomosynthesis (DBT) images, we propose a DBT mass automatic segmentation algorithm by using a U-Net architecture. Firstly, to suppress the background tissue noise and e...
Humans Radiographic Image Interpretation, Computer-Assisted Breast Radiographic Image Enhancement Sensitivity and Specificity Neural Networks, Computer Breast Neoplasms Algorithms Computational Biology Female Mammography
View on PubMed DOI

Deep learning-based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual-energy CT-based approach.

Medical physics Dec 3, 2019
PURPOSE: The aim of this study was to develop a deep learning (DL) method for generating virtual noncontrast (VNC) computed tomography (CT) images from contrast-enhanced (CE) CT images (VNC ) and to evaluate its performance in dose calculations for h...
Tomography, X-Ray Computed Reproducibility of Results Deep Learning Iodine Humans Radiotherapy, Intensity-Modulated Radiographic Image Enhancement Radiography, Dual-Energy Scanned Projection Time Factors Neck Contrast Media Head
View on PubMed DOI

Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study.

EBioMedicine Nov 15, 2019
BACKGROUND: Current guidelines recommend surgical resection as the first-line option for patients with solitary hepatocellular carcinoma (HCC); unfortunately, postoperative recurrence rate remains high and there is no reliable prediction tool. We exp...
Humans Contrast Media Machine Learning Workflow Algorithms Prognosis Neoplasm Recurrence, Local Hepatectomy Retrospective Studies Proportional Hazards Models Male Liver Neoplasms Tomography, X-Ray Computed Radiographic Image Enhancement Carcinoma, Hepatocellular Female Image Processing, Computer-Assisted
View on PubMed DOI

Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.

European radiology Nov 5, 2019
OBJECTIVE: To evaluate the impact of utilizing digital breast tomosynthesis (DBT) or/and full-field digital mammography (FFDM), and different transfer learning strategies on deep convolutional neural network (DCNN)-based mass classification for breas...
Breast Radiographic Image Enhancement Breast Neoplasms Middle Aged Deep Learning Imaging, Three-Dimensional Mammography Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Aged Aged, 80 and over Young Adult Adult Humans Machine Learning Neural Networks, Computer Retrospective Studies Female
View on PubMed DOI

Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Radiology Sep 24, 2019
Although computer-aided diagnosis (CAD) is widely used in mammography, conventional CAD programs that use prompts to indicate potential cancers on the mammograms have not led to an improvement in diagnostic accuracy. Because of the advances in machin...
Humans Radiographic Image Enhancement Artificial Intelligence Risk Assessment Diagnosis, Computer-Assisted Machine Learning Deep Learning Algorithms Mammography Female Breast Neoplasms
View on PubMed DOI

Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs.

Medical image analysis Sep 4, 2019
Cochlear implants (CIs) are surgically implanted neural prosthetic devices that are used to treat severe-to-profound hearing loss. These devices are programmed post implantation and precise knowledge of the implant position with respect to the intra ...
Artifacts Cochlear Implants Radiographic Image Enhancement Cochlea Algorithms Tomography, X-Ray Computed Metals Imaging, Three-Dimensional Humans Neural Networks, Computer
View on PubMed DOI

A Hybridized ELM for Automatic Micro Calcification Detection in Mammogram Images Based on Multi-Scale Features.

Journal of medical systems May 15, 2019
Detection of masses and micro calcifications are a stimulating task for radiologists in digital mammogram images. Radiologists using Computer Aided Detection (CAD) frameworks to find the breast lesion. Micro calcification may be the early sign of bre...
Mammography Radiographic Image Enhancement Female Humans Diagnosis, Computer-Assisted Machine Learning Calcinosis Algorithms
View on PubMed DOI

Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging.

Journal of healthcare engineering Apr 9, 2019
Cluster of microcalcifications can be an early sign of breast cancer. In this paper, we propose a novel approach based on convolutional neural networks for the detection and segmentation of microcalcification clusters. In this work, we used 283 mammo...
Radiographic Image Enhancement Humans Mammography Female Neural Networks, Computer Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Algorithms Reproducibility of Results Breast Neoplasms Calcinosis
View on PubMed DOI
Popular Topics
Recent Journals