Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video)

Z Lu, Y Xu, L Yao, W Zhou, W Gong, G Yang… - Gastrointestinal …, 2022 - Elsevier
Background and Aims The optical diagnosis of colorectal cancer (CRC) invasion depth with
white light (WL) and image-enhanced endoscopy (IEE) remains challenging. We aimed to …

[HTML][HTML] Computer-aided diagnosis of early-stage colorectal cancer using nonmagnified endoscopic white-light images (with videos)

D Nemoto, Z Guo, S Katsuki, T Takezawa… - Gastrointestinal …, 2023 - Elsevier
Background and Aims Differentiation of colorectal cancers (CRCs) with deep submucosal
invasion (T1b) from CRCs with superficial invasion (T1a) or no invasion (Tis) is not …

Artificial intelligence− enhanced white-light colonoscopy with attention guidance predicts colorectal cancer invasion depth

X Luo, J Wang, Z Han, Y Yu, Z Chen, F Huang… - Gastrointestinal …, 2021 - Elsevier
Background and Aims Endoscopic submucosal dissection (ESD) and EMR are applied in
treating superficial colorectal neoplasms but are contraindicated by deeply invasive …

[HTML][HTML] Diagnostic performance of artificial intelligence to identify deeply invasive colorectal cancer on non-magnified plain endoscopic images

Y Nakajima, X Zhu, D Nemoto, Q Li… - Endoscopy …, 2020 - thieme-connect.com
Background and study aims Colorectal cancers (CRC) with deep submucosal invasion (T1b)
could be metastatic lesions. However, endoscopic images of T1b CRC resemble those of …

Development and validation of an artificial intelligence‐based system for predicting colorectal cancer invasion depth using multi‐modal data

L Yao, Z Lu, G Yang, W Zhou, Y Xu, M Guo… - Digestive …, 2023 - Wiley Online Library
Objectives Accurate endoscopic optical prediction of the depth of cancer invasion is critical
for guiding an optimal treatment approach of large sessile colorectal polyps but was …

[HTML][HTML] Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy

M Yamada, Y Saito, H Imaoka, M Saiko, S Yamada… - Scientific reports, 2019 - nature.com
Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been
identified, and solutions are critically needed. Hence, the development of a real-time robust …

Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy

Y Zhu, QC Wang, MD Xu, Z Zhang, J Cheng… - Gastrointestinal …, 2019 - Elsevier
Background and Aims According to guidelines, endoscopic resection should only be
performed for patients whose early gastric cancer invasion depth is within the mucosa or …

Endoscopic diagnostic support system for cT1b colorectal cancer using deep learning

N Ito, H Kawahira, H Nakashima, M Uesato, H Miyauchi… - Oncology, 2018 - karger.com
Objective: This study aimed to use convolutional neural network (CNN), a deep learning
software, to assist in cT1b diagnosis. Methods: This retrospective study used 190 colon …

[HTML][HTML] Prediction of the histology of colorectal neoplasm in white light colonoscopic images using deep learning algorithms

SJ Choi, ES Kim, K Choi - Scientific Reports, 2021 - nature.com
The treatment plan of colorectal neoplasm differs based on histology. Although new
endoscopic imaging systems have been developed, there are clear diagnostic thresholds …

[HTML][HTML] Diagnosis of depth of submucosal invasion in colorectal cancer with AI using deep learning

S Minami, K Saso, N Miyoshi, S Fujino, S Kato… - Cancers, 2022 - mdpi.com
Simple Summary In contrast to shallow submucosal invasion, colorectal cancer with deep
submucosal invasion requires surgical colectomy. However, accurately diagnosing the …