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Deep Learning Technology Applied to Medical Image Tissue Classification
Min Jen Tsai
*
, Yu Han Tao
*
此作品的通信作者
資訊管理研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Histopathological Images
100%
Convolutional Neural Network
100%
Medical Image
100%
Deep Learning Technology
100%
Tissue Classification
100%
Medical Image Classification
100%
Recognition Accuracy
50%
Neural Network
50%
Activation Function
50%
Image Data
50%
Deep Learning
50%
Classification Results
50%
Publicly Available
50%
Best Model
50%
Colorectal Tissue
50%
Convolutional Neural Network Model
50%
Traditional Neural Network
50%
Convolutional Layer
50%
Network Features
50%
Diabetic Retinopathy
50%
Deep Learning Model
50%
Deep Learning Network
50%
Chest X-ray
50%
Deep Neural Network Classifier
50%
Learning Network Models
50%
Skin Lesions
50%
InceptionV3
50%
Breast Ultrasound
50%
Precise Treatment
50%
Computer Science
Convolutional Neural Network
100%
Learning Technology
100%
Deep Learning Method
100%
Neural Network
66%
Image Classification
66%
Recognition Accuracy
33%
Activation Function
33%
Neural Network Model
33%
classification result
33%
Ultrasound Image
33%
Convolutional Layer
33%
Deep Learning Model
33%
Inception V3
33%
Neuroscience
Neural Network
100%
Diabetic Retinopathy
20%
Breast Ultrasonography
20%