Lung cancer is one of the most important deadly diseases in the world. The recent estimates provided by the World Health Organization (WHO) says
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A Deep Learning Framework for Predicting Response to Therapy in Cancer
Sakellaropoulos et al. designed a machine learning workflow to predict drug response and survival of cancer patients. All pipelines are trained on a large panel
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images | Article
Cancer is a disease that has several manifestations and it is primarily associated with abnormal cell groups. These cancer cells continue to divide and
Are We Safe Enough in the Future of Artificial Intelligence? Utku Köse
Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety Nowadays, there is a serious
High-resolution 3D MR Fingerprinting Using Parallel Imaging and Deep Learning | Article
MR Fingerprinting (MRF) is a relatively new imaging framework for MR acquisition, reconstruction, and analysis, which can provide rapid, efficient and simultaneous quantification of
Research on Application of Artificial Intelligence in Computer Network Technology
This paper attempts to apply artificial intelligence (AI) to computer network technology and research on the application of AI in computing network technology. With
Who will be rich and poor in future? – Michio Kaku
Michio Kaku explains the main reason that will be a key factor in determining which countries will be poor and which will be rich
Deep Learning for Risk Assessment: All About Automatic Feature Extraction | Article
At the core of clinical medicine is shared decision-making about tests and treatments based upon individual patients’ risk-benefit calculus. Interventions are undertaken when the
Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects | Article
In the oil and gas industry, primary and secondary recovery methods typically can produce on the average about one-third of the original oil in
A human-in-the-loop deep learning paradigm for synergic visual evaluation in children | Article
Examining the visual acuity of children who are younger than three years old is important for the early discovery of abnormal visual development, potential