Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment. Conventional computer-aided ...
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Image classification with CNNs in Keras | Easy guide
In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
Deep learning has come to be one of the most transformative generations in current clinical imaging, imparting advanced answers for diagnosis, segmentation, and sickness class. This complete ...
Satellite image classification plays a vital role in land cover mapping, resource management, and environmental monitoring. While recent advances in deep learning have improved performance, single ...
A Comparative Evaluation of Microimpedance Tomography Reconstruction Algorithms for in Vitro Imaging
Institute of Microtechnology (IMT), Technische Universität Braunschweig, Alte Salzdahlumer Straße 203, 38124 Braunschweig, Germany Center of Pharmaceutical Engineering (PVZ), Technische Universität ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...
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