Using U-Net to Semantically Segment Left Atrium in CT Images

碩士 === 國立交通大學 === 統計學研究所 === 106 === The U-Net deep learning framework may effectively segment the left atrium, but to date this architecture has not been thoroughly experimented with regard to three important factors. These include the effect of image transformation, the effect of transfer learning...

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Bibliographic Details
Main Authors: Pan, Yo-Ming, 潘友明
Other Authors: Lu, Horng-Shing
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/zm8v9g