3 research outputs found
Stenosis detection in coronary angiography images using deep learning models
The emergence of deep learning has caused its
massive application to different fields in industry and research,
among which is the clinical field, especially in those where
the data is structured in the form of images or video. The
present proposal intends to develop a coronary angiography
image analysis system based on artificial intelligence. These
images are radiocontrast X-ray images of the coronary arteries.
The proposed system will be able to analyze these coronary
angiography images of patients with no obstructive coronary
lesions to detect and characterize smooth and irregular coronary
arteries and predict the presence of cardiovascular events during
follow-up. Deep learning convolutional artificial neural networks
will support the algorithmic basis of the proposed system.Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech
Deep learning for coronary artery disease severity classification
Medical imaging evaluations are one of the fields where computed-aid diagnosis could improve the efficiency of
diagnosis supporting physician decisions. Cardiovascular Artery Disease (CAD) is diagnosed using the gold standard, Invasive
Coronary Angiography (ICA). In this work, performance analysis for binary classification of ICA images considering the
severity ranges separately is reported, evaluating how performance is affected depending on the degree of lesions considered.
For this purpose, an annotated dataset of ICA images was employed, which contains the ground truth, the location and the
category of lesions into seven possible ranges: <20 %, [20 %, 49 %], [50 %, 69 %], [70 %, 89 %], [90 %, 98 %], 99 %, and
100 %. The ICA images were pre-processed, divided into patches and balanced by downsampling and data augmentation. In
this study, four known pre-trained CNN architectures were trained using different categories of lesion degree as input, whose
F-measures are computed. Results report that the F-measures showed a behavior dependent on the narrow presents of the
image, being lesions with more than 50 % severity were better classified, achieving an F-measure of 75%.Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech
Innovations that empower teachers: the case of i-Spring to design tailor-made learning materials.
Organizations must acknowledge the necessity of change and adopt diverse management strategies to swiftly adapt to the evolving technology and the new knowledge landscape. In the context of educational changes, an increasing value is placed nowadays on identifying renewed and effective approaches to teaching as the safest way to bring about not just students’ learning but growth, development and/or evolution. The strengthened emphasis on innovation as key to progress in today’s world has resulted in a widespread encouragement for teachers to pursue innovative initiatives that, in turn, will empower them. So, innovation practices will help those teaching practitioners who implement them to become increasingly empowered, and teacher empowerment is an essential tool for carrying out educational innovations. Notwithstanding this, each innovation, whatever the generation it belongs to, requires new knowledge, understanding, and skills and can therefore be perceived as demanding or even a bit intimidating, particularly technology-based ones.Plan Propio Integral de Docencia de la Universidad de Málaga.
Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech