Back to Search
Start Over
A review on deep learning in medical image analysis
- Source :
- International Journal of Multimedia Information Retrieval
- Publication Year :
- 2021
- Publisher :
- Springer London, 2021.
-
Abstract
- Ongoing improvements in AI, particularly concerning deep learning techniques, are assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the quickest developing field in artificial intelligence and is effectively utilized lately in numerous areas, including medication. A brief outline is given on studies carried out on the region of application: neuro, brain, retinal, pneumonic, computerized pathology, bosom, heart, breast, bone, stomach, and musculoskeletal. For information exploration, knowledge deployment, and knowledge-based prediction, deep learning networks can be successfully applied to big data. In the field of medical image processing methods and analysis, fundamental information and state-of-the-art approaches with deep learning are presented in this paper. The primary goals of this paper are to present research on medical image processing as well as to define and implement the key guidelines that are identified and addressed.
- Subjects :
- Image classes
Computer science
business.industry
Deep learning
Big data
Image processing
Library and Information Sciences
Data science
Field (computer science)
Image (mathematics)
Software deployment
Medical image analysis
Media Technology
Key (cryptography)
Regular Paper
Artificial intelligence
Information exploration
business
Survey
Accuracy
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 2192662X and 21926611
- Database :
- OpenAIRE
- Journal :
- International Journal of Multimedia Information Retrieval
- Accession number :
- edsair.doi.dedup.....55a7858b7a58bbfcb7f43486e29e17b0