首页> Journal of imaging> Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population.

Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population.

导出 LinkOut

翻译打印收藏纠错

第一作者： Eva,Shimkus

第一单位： Program in Biochemistry and Biophysics, Amherst College, Amherst, MA 01002, USA.

作者： Eva,Shimkus ^[1] ; Ivana,Kružić ^[2] ; Saša,Mladenović ^[3] ; Iva,Perić ^[4] ; Marija Jurić,Gunjača ^[4] ; Tade,Tadić ^[4] ; Krešimir,Dolić ^[5] ; Šimun,Anđelinović ^[4] ; Željana,Bašić ^[2] ; Ivan,Jerković ^[2]

作者单位： Program in Biochemistry and Biophysics, Amherst College, Amherst, MA 01002, USA. ^[1] Faculty of Forensic Sciences, University of Split, 21000 Split, Croatia. ^[2] Faculty of Science, University of Split, 21000 Split, Croatia. ^[3] Department of Abdominal Surgery, University Hospital Split, 21000 Split, Croatia. ^[4] Department of Abdominal Surgery, University Hospital Split, 21000 Split, Croatia.;Faculty of Health Sciences, University of Split, 21000 Split, Croatia. ^[5]

关键词 Croatian population Gradio app PointNet++artificial intelligence deep learning mandible sex estimation

DOI 10.3390/jimaging11100328

PMID 41150004

发布时间 2025-10-31

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Journal of imaging

2025年11卷10期

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

点击下载本期目录封面

Journal of imaging

2025年11卷10期

检索历史清除

Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population.

Journal of imaging

相似文献

同项目论文

Journal of imaging

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population.

Journal of imaging

相似文献

同项目论文

Journal of imaging

相关期刊

检索历史清除