Deep-Learning Approach for Tissue Classification Using Acoustic Waves During Ablation With an Er:YAG Laser (Vol 9, pg 130543, 2021)

被引:0
作者
Seppi, Carlo [1 ]
Huck, Antal [1 ]
Kenhagho, Herve Nguendon [1 ]
Schnider, Eva [1 ]
Rauter, Georg [1 ]
Zam, Azhar [1 ]
Cattin, Philippe C. [1 ]
机构
[1] Univ Basel, Dept Biomed Engn, CH-4123 Allschwil, Switzerland
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Training; Laser ablation; Testing; Acoustic waves;
D O I
10.1109/ACCESS.2024.3395071
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
引用
收藏
页码:69299 / 69300
页数:2
相关论文
共 2 条
[1]   Machine Learning-Based Optoacoustic Tissue Classification Method for Laser Osteotomes Using an Air-Coupled Transducer [J].
Kenhagho, Herve Nguendon ;
Canbaz, Ferda ;
Gomez Alvarez-Arenas, Tomas E. ;
Guzman, Raphael ;
Cattin, Philippe ;
Zam, Azhar .
LASERS IN SURGERY AND MEDICINE, 2021, 53 (03) :377-389
[2]   Deep-Learning Approach for Tissue Classification Using Acoustic Waves During Ablation With an Er:YAG Laser [J].
Seppi, Carlo ;
Huck, Antal ;
Kenhagho, Herve Nguendon ;
Schnider, Eva ;
Rauter, Georg ;
Zam, Azhar ;
Cattin, Philippe C. .
IEEE ACCESS, 2021, 9 :130543-130553