AIMC Topic: Radiography

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Intelligent analysis of coronal alignment in lower limbs based on radiographic image with convolutional neural network.

Computers in biology and medicine Mar 29, 2020
One of the first tasks in osteotomy and arthroplasty is to identify the lower limb varus and valgus deformity status. The measurement of a set of angles to determine this status is generally performed manually with the measurement accuracy depending ...
Lower Extremity Radiography Osteotomy Humans Neural Networks, Computer X-Rays
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Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training.

Medical & biological engineering & computing Mar 27, 2020
High-quality annotations for medical images are always costly and scarce. Many applications of deep learning in the field of medical image analysis face the problem of insufficient annotated data. In this paper, we present a semi-supervised learning ...
Databases, Factual Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Humans Neural Networks, Computer Chronic Disease Gastritis Radiography Supervised Machine Learning
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Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches.

Joint diseases and related surgery Mar 26, 2020
OBJECTIVES: This study aims to detect frontal pelvic radiograph femoral neck fracture using deep learning techniques.
Aged, 80 and over Retrospective Studies Radiography Male Humans Middle Aged Female Femoral Neck Fractures Adult Algorithms Deep Learning Aged Sensitivity and Specificity
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Deep learning in gastric tissue diseases: a systematic review.

BMJ open gastroenterology Mar 26, 2020
BACKGROUND: In recent years, deep learning has gained remarkable attention in medical image analysis due to its capacity to provide results comparable to specialists and, in some cases, surpass them. Despite the emergence of deep learning research on...
Humans Radiography Reproducibility of Results Radiology Deep Learning Gastritis
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Low-contrast X-ray enhancement using a fuzzy gamma reasoning model.

Medical & biological engineering & computing Mar 20, 2020
X-ray images play an important role in providing physicians with satisfactory information correlated to fractures and diseases; unfortunately, most of these images suffer from low contrast and poor quality. Thus, enhancement of the image will increas...
Fuzzy Logic Radiography Spine Hand Image Enhancement X-Rays Humans Databases, Factual Female Adolescent Infant, Newborn Child, Preschool Male Child Infant
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Real-time tumor localization with single x-ray projection at arbitrary gantry angles using a convolutional neural network (CNN).

Physics in medicine and biology Mar 19, 2020
For tumor tracking therapy, precise knowledge of tumor position in real-time is very important. A technique using single x-ray projection based on a convolutional neural network (CNN) was recently developed which can achieve accurate tumor localizati...
Humans Neural Networks, Computer Radiography Respiration Neoplasms Movement Time Factors Image Processing, Computer-Assisted
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Impact of hybrid supervision approaches on the performance of artificial intelligence for the classification of chest radiographs.

Computers in biology and medicine Mar 17, 2020
PURPOSE: To evaluate the impact of different supervision regimens on the training of artificial intelligence (AI) in the classification of chest radiographs as normal or abnormal in a moderately sized cohort of individuals more likely to be outpatien...
Neural Networks, Computer Artificial Intelligence Retrospective Studies Radiography Humans Radiography, Thoracic
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Supervised and unsupervised language modelling in Chest X-Ray radiological reports.

PloS one Mar 10, 2020
Chest radiography (CXR) is the most commonly used imaging modality and deep neural network (DNN) algorithms have shown promise in effective triage of normal and abnormal radiograms. Typically, DNNs require large quantities of expertly labelled traini...
Datasets as Topic Humans Radiography Lung Diseases Neural Networks, Computer Decision Support Systems, Clinical Supervised Machine Learning Lung Image Processing, Computer-Assisted
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Dive Into Deep Learning.

Journal of the American College of Radiology : JACR Mar 3, 2020
Diving Natural Language Processing Radiography Radiology Deep Learning
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Radiomics: from qualitative to quantitative imaging.

The British journal of radiology Feb 26, 2020
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is difficult to quantify what can be seen in an image, and to turn it into valuable predictive outcomes. As a result of advances in both computational hardware and...
Humans Forecasting Female Breast Neoplasms Brain Neoplasms Workflow Lung Neoplasms Male Technology, Radiologic Radiography Deep Learning Diagnostic Imaging Image Processing, Computer-Assisted
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