AIMC Topic:
Image Interpretation, Computer-Assisted
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Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.
IEEE transactions on medical imaging
May 14, 2020
Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent COVID-19 pandemic, some works have started to investigate DL-based solutions for the assisted diagnosis of lung diseases. While existing works focus on CT scan...
Usefulness of deep learning-assisted identification of hyperdense MCA sign in acute ischemic stroke: comparison with readers' performance.
Japanese journal of radiology
May 12, 2020
PURPOSE: To evaluate the usefulness of deep learning-assisted diagnosis for identifying hyperdense middle cerebral artery sign (HMCAS) on non-contrast computed tomography in comparison with the diagnostic performance of neuroradiologists.
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations.
The Lancet. Digital health
May 12, 2020
BACKGROUND: Screening for chronic kidney disease is a challenge in community and primary care settings, even in high-income countries. We developed an artificial intelligence deep learning algorithm (DLA) to detect chronic kidney disease from retinal...
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
May 11, 2020
Prostate cancer (PrCa) is the second most common cancer among men in the United States. The gold standard for detecting PrCa is the examination of prostate needle core biopsies. Diagnosis can be challenging, especially for small, well-differentiated ...
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.
IEEE transactions on medical imaging
May 8, 2020
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important. Unfortunately, due to the emergent nature of the COVID-19 pandemic, a system...
Simplification of neural networks for skin lesion image segmentation using color channel pruning.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 8, 2020
Automatic analysis of skin abnormality is an effective way for medical experts to facilitate diagnosis procedures and improve their capabilities. Efficient and accurate methods for analysis of the skin abnormalities such as convolutional neural netwo...
MRI radiomics-based machine-learning classification of bone chondrosarcoma.
European journal of radiology
May 7, 2020
PURPOSE: To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI).
Discriminant analysis and interpretation of nuclear chromatin distribution and coarseness using gray-level co-occurrence matrix features for lobular endocervical glandular hyperplasia.
Diagnostic cytopathology
May 6, 2020
BACKGROUND: Lobular endocervical glandular hyperplasia (LEGH) is a disease considered to be the origin of tumorigenesis of minimal deviation adenocarcinoma, which has characteristic expression in the gastric pyloric mucosa. It is difficult to diagnos...
Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way?
European radiology experimental
May 5, 2020
Machine learning (ML) and deep learning (DL) systems, currently employed in medical image analysis, are data-driven models often considered as black boxes. However, improved transparency is needed to translate automated decision-making to clinical pr...
A Novel Radial Basis Neural Network-Leveraged Fast Training Method for Identifying Organs in MR Images.
Computational and mathematical methods in medicine
May 5, 2020
We propose a new method for fast organ classification and segmentation of abdominal magnetic resonance (MR) images. Magnetic resonance imaging (MRI) is a new type of high-tech imaging examination fashion in recent years. Recognition of specific targe...
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