그림 1. 영상 전처리 과정의 예. Fig. 1. Image data pre-processing process : (a) Original Image(12bit) (b) WW/WL(8bit) (c) ROI (d) Resize(150X150).
그림 2. AlexNet : 5개 컨볼루션 층, 3개의 완전 연결된 층. Fig. 2. AlexNet : 5 convolutional layer, 3 fully-connected layer.
그림 3. Vgg Net 구조. Fig. 3. Vgg Net Architecture.
그림 4. AlexNet을 이용한 학습시간 결과. Fig. 4. Learning time(s) using Alexnet.
그림 5. VggNet을 이용한 학습시간 결과. Fig 5. Learning time(s) using VggNet.
표 1. 이미지 크기, 배치 크기, 반복 횟수의 차이에 따른 AlexNet과 VggNet 결과 비교 Table 1. Comparison of AlexNet and VggNet results due to difference in image size, batch size and epoch
표 2. AlexNet과 VggNet의 학습 시간 비교 결과 Table 2. AlexNet and VggNet results through analysis of learning time
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