Deep Learning Models in Medical Image Analysis
Deep learning is a state-of-the-art technology that has rapidly become the method of choice for medical image analysis. The health care sector a high priority sector and consumers expect the highest level of care and services regardless of cost[1]. Medical data mainly include electronic health record data, medical image data, gene information data, etc. This review introduces the application of deep learning in the field of big data analysis and early diagnosis of diseases. Following the success of deep learning in other real-world applications, it is seen as also providing exciting and accurate solutions for medical imaging, and is seen as a key method for future applications in the health care sector.
"Deep Learning Models in Medical Image Analysis", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 9, page no.139 - 140, September-2022, Available :https://ijsdr.org/papers/IJSDR2209024.pdf
Volume 7
Issue 9,
September-2022
Pages : 139 - 140
Paper Reg. ID: IJSDR_201516
Published Paper Id: IJSDR2209024
Downloads: 000347236
Research Area: Engineering
Country: Puttur, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
