According to official statistics, cancer is considered as the second leading cause of human
fatalities. Among different types of cancer, brain tumor is seen as one of the deadliest forms …

Almost every clinical specialty will use artificial intelligence in the future. The first area of
practical impact is expected to be the rapid and accurate interpretation of image streams …

A weighted random survival forest is presented in the paper. It can be regarded as a
modification of the random forest improving its performance. The main idea underlying the …

The brain tumors, are the most common and aggressive disease, leading to a short life
expectancy and much pain. Timely and accurate diagnosis is the key factor in improving the …

Choice Recommended Title, January 2021 This book, written by authors with more than a
decade of experience in the design and development of artificial intelligence (AI) systems in …

Brain tumor, which is one of the deadliest cancers, can have several types, based on
different characteristics of the tumor. Determining the exact category of this cancer is of …

Radiology is experiencing an increased interest in machine learning with its ability to use a
large amount of available data. However, it remains unclear how and to what extent …

Radiomics beschäftigt sich mit der statistischen Analyse von radiologischen Bilddaten.
Dieser Beitrag führt in Radiomics ein und zeigt einige ihrer Anwendungsbeispiele auf …

A new classification subsystem of a lung cancer computer-aided-diagnosis systems is
proposed in the paper. Its implementation is based on two main approaches. First, the …

A lot of computer-aided diagnosis systems for lung cancer detection have been developed
in the last years, but most of them may be not effective when we deal with the differential …