Research progress of deep learning in tumor images classification
With the continuous development of medical imaging technology and computer-aided diagnosis,medical image analysis has become an indispensable tool in clinical disease diagnosis and treatment.Manual film reading and other tradi-tional medical image analysis methods have been unable to meet the diagnostic needs of the rapidly growing number of im-aging data.In recent years,deep learning,especially deep convolution neural network has rapidly become a research hots-pot in medical image analysis.It can automatically recognize disease features invisible to the naked eye from medical ima-ges big data.This paper summarizes the research progress of deep learning model in tumor image classification,analyzes and prospects the application of deep learning in tumor image classification,and provides ideas for related researchers to develop and optimize new classification models.
deep learningtumor image classificationcomputer-aided diagnosisconvolution neural networkautomatic recognition
NETL
NSTL
万方数据
