Development of a Deep Learning System for Intraoperative Identification of Cancer Metastases.

Journal: Annals of surgery

Published Date: Apr 5, 2024

Abstract

OBJECTIVE: The aim of this study was to develop and test a prototype of a deep learning surgical guidance system [computer-assisted staging laparoscopy (CASL)] that can intraoperative identify peritoneal surface metastases on routine laparoscopy images.

Authors

Thomas Schnelldorfer

Lahey Hospital & Medical Center, Burlington, MA, 01805, USA.
Janil Castro

Surgical Imaging Lab, Tufts Medical Center, Boston, MA.
Atoussa Goldar-Najafi

Department of Pathology, Lahey Hospital and Medical Center, Burlington, MA.
Liping Liu

Department of Computer Sciences, Tufts University, Medford, MA.

Keywords

Adenocarcinoma Aged Deep Learning Female Gastrointestinal Neoplasms Humans Laparoscopy Male Middle Aged Neoplasm Staging Peritoneal Neoplasms Surgery, Computer-Assisted

External Resources

View on PubMed Access via DOI PubMed (38577794)

Development of a Deep Learning System for Intraoperative Identification of Cancer Metastases.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals