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
| 作者 | Jun Chen,
Zhechao Wan, Jiacheng Zhang, Wenhua Li, Yanbing Chen, Yuebing Li, Yue Duan |
|---|---|
| 摘要 | 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. |
* IFR: Top 11.82% in Computer Science, Theory & Methods; 16.67% in Medical Informatics; 19.82% in Computer Science, Interdisciplinary Applications; 21.35% in Engineering, Biomedical. Also listed in Scopus, EI.