Detection of multiple lesions of gastrointestinal tract for endoscopy using artificial intelligence model: a pilot study
Background This study was aimed to develop a computer-aided diagnosis (CAD) system
with deep-learning technique and to validate its efficiency on detecting the four categories of …
with deep-learning technique and to validate its efficiency on detecting the four categories of …
Detection of multiple lesions of gastrointestinal tract for endoscopy using artificial intelligence model: a pilot study
G Linjie, H Gong, Q Wang, Z Qiongying… - Surgical …, 2021 - search.proquest.com
Background This study was aimed to develop a computer-aided diagnosis (CAD) system
with deep-learning technique and to validate its efficiency on detecting the four categories of …
with deep-learning technique and to validate its efficiency on detecting the four categories of …
Detection of multiple lesions of gastrointestinal tract for endoscopy using artificial intelligence model: a pilot study.
L Guo, H Gong, Q Wang, Q Zhang, H Tong… - Surgical …, 2021 - search.ebscohost.com
Background: This study was aimed to develop a computer-aided diagnosis (CAD) system
with deep-learning technique and to validate its efficiency on detecting the four categories of …
with deep-learning technique and to validate its efficiency on detecting the four categories of …
Detection of multiple lesions of gastrointestinal tract for endoscopy using artificial intelligence model: a pilot study
L Guo, H Gong, Q Wang, Q Zhang… - Surgical …, 2021 - pubmed.ncbi.nlm.nih.gov
Background This study was aimed to develop a computer-aided diagnosis (CAD) system
with deep-learning technique and to validate its efficiency on detecting the four categories of …
with deep-learning technique and to validate its efficiency on detecting the four categories of …
Detection of multiple lesions of gastrointestinal tract for endoscopy using artificial intelligence model: a pilot study.
L Guo, H Gong, Q Wang, Q Zhang, H Tong, J Li… - Surgical …, 2020 - europepmc.org
Background This study was aimed to develop a computer-aided diagnosis (CAD) system
with deep-learning technique and to validate its efficiency on detecting the four categories of …
with deep-learning technique and to validate its efficiency on detecting the four categories of …