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Radiomics and Digital Image Texture Analysis in Oncology (Review)
- Source :
- Modern Technologies in Medicine
- Publication Year :
- 2021
- Publisher :
- Journal Sovremennye Tehnologii v Medicine, 2021.
-
Abstract
- One of the most promising areas of diagnosis and prognosis of diseases is radiomics, a science combining radiology, mathematical modeling, and deep machine learning. The main concept of radiomics is image biomarkers (IBMs), the parameters characterizing various pathological changes and calculated based on the analysis of digital image texture. IBMs are used for quantitative assessment of digital imaging results (CT, MRI, ultrasound, PET). The use of IBMs in the form of “virtual biopsy” is of particular relevance in oncology. The article provides the basic concepts of radiomics identifying the main stages of obtaining IBMs: data collection and preprocessing, tumor segmentation, data detection and extraction, modeling, statistical processing, and data validation. The authors have analyzed the possibilities of using IBMs in oncology, describing the currently known features and advantages of using radiomics and image texture analysis in the diagnosis and prognosis of cancer. The limitations and problems associated with the use of radiomics data are considered. Although the novel effective tool for performing virtual biopsy of human tissue is at the development stage, quite a few projects have already been implemented, and medical software packages for radiomics analysis of digital images have been created.
- Subjects :
- Oncology
medicine.medical_specialty
quantitative analysis of digital images
digital image analysis in oncology
image biomarkers
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Reviews
Data validation
Medical Oncology
computer.software_genre
General Biochemistry, Genetics and Molecular Biology
virtual biopsy
Machine Learning
Digital image
Image texture
Radiomics
analysis of tissue textures
Neoplasms
Internal medicine
Medical software
Image Processing, Computer-Assisted
medicine
Humans
Preprocessor
Relevance (information retrieval)
Digital imaging
General Medicine
Magnetic Resonance Imaging
radiomics
computer
Subjects
Details
- ISSN :
- 20764243
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Sovremennye tehnologii v medicine
- Accession number :
- edsair.doi.dedup.....4a4e8f61e564304a26194f1db1e7ad62