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AI-powered real-time detection and classification of peritoneal nodules in colorectal cancer using multi-center laparoscopic data: A feasibility study

delete2026-06-30
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PRE
AI
R
Rumao Zhong
J
Jianmei Yi
M
Mingjian Qin
X
Xiaoliang Huang
J
Jun Liu
J
JunBo Lv
Y
Yongzhi Wu
Z
Zigui Huang
Y
Yongqi Huang
F
Fuhai He
S
Shenghai Liu
W
Weisheng Zhang
P
Peidong Wu
X
Xiangqing Qin
L
Lanyu Qin
X
Xinting Yang
C
Cun Liao *
J
Jungang Liu *
W
Weizhong Tang *
C
Chenyan Long *
DOI：10.1016/j.ejso.2026.111967delete
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Abstract

Abstract

En 中文
To explore the feasibility of developing an intraoperative real-time detection model for peritoneal nodules in laparoscopic colorectal cancer surgery using computer vision and deep learning, and to provide a preliminary assessment of its potential for assisting surgeons in nodule identification.

Journal

European Journal of Surgical Oncology cover
European Journal of Surgical Oncology
IF:
2.9
Papers:
6.7K
Citations:
1.3W

Organization

G
GuangXi Medical University
Scholars:
2.3K
Papers: 507
Citations: 3.1K
T
The First Affiliated Hospital of Guangxi Medical University
Scholars:
302
Papers: 82
Citations: 0
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