The Promises of AI on Radiomics for Medical Research and Its Implementation Framework | Chapter 1 | Research Highlights in Science and Technology Vol. 4

 Medical research has currently been considerably benefited from the radiomics approach. Using radiomics allows for noninvasive belief of the pathology of tumor metastases before the collection of data consistently obtained subsequently surgery, which supports an early prediction of the effect. This study sheds light on the implementation of radiomics in healing research. This paper outlined the main parts of the radiomic framework, which involve image purchase, data collection and stowing, image separation, feature extraction, feature selection, and dossier analysis. Moreover, it expressed the implementation steps for applying machine intelligence and deep neural network algorithms to radiomics. As a result of utilizing deep neural networks, promising results have happened obtained. As a result of this work, scientists should be aware of all mechanics issues in the radiomics framework that concede possibility affect the extraction of radiomics.

Author(s) Details:

Fatma Alshohoumi,
Department of Computer Science, College of Science, Sultan Qaboos University (SQU), Alkouth, Oman.

Abdullah Al-Hamdani,
Department of Computer Science, College of Science, Sultan Qaboos University (SQU), Alkouth, Oman.

Please see the link here: https://stm.bookpi.org/RHST-V4/article/view/10907