2020/2021
Medical image segmentation and reconstruction of prostate tumor based on 3D AlexNet
Computer Methods and Programs in Biomedicine*, 2021(200): article no. 105878
Author(s) | Jun Chen,
Zhechao Wan, Jiacheng Zhang, Wenhua Li, Yanbing Chen, Yuebing Li, Yue Duan |
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Summary | Prostate cancer is a disease with a high incidence of tumors in men. Due to the long incubation time and insidious condition, early diagnosis is difficult; especially imaging diagnosis is more difficult. In actual clinical practice, the method of manual segmentation by medical experts is mainly used, which is time-consuming and labor-intensive and relies heavily on the experience and ability of medical experts. The rapid, accurate and repeatable segmentation of the prostate area is still a challenging problem. It is important to explore the automated segmentation of prostate images based on the 3D AlexNet network. |
* Also listed in SCIE, EI.