Background and Aims Endoscopic submucosal dissection (ESD) and EMR are applied in
treating superficial colorectal neoplasms but are contraindicated by deeply invasive …

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 …

Background Accurate delineation of cancer margins is critical for endoscopic curative
resection. This study aimed to train and validate real-time fully convolutional networks for …

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 …

Background: Classification of colorectal neoplasms during colonoscopic examination is
important to avoid unnecessary endoscopic biopsy or resection. This study aimed to develop …

Background and Aims Endoscopic treatment is recommended for low-grade dysplasia
(LGD), high-grade dysplasia (HGD), and colorectal cancer (CRC) with submucosal (SM) …

Simple Summary In contrast to shallow submucosal invasion, colorectal cancer with deep
submucosal invasion requires surgical colectomy. However, accurately diagnosing the …

Background Accurate identification of the differentiation status and margins for early gastric
cancer (EGC) is critical for determining the surgical strategy and achieving curative resection …

Colonoscopy is commonly used to screen for colorectal cancer (CRC). We develop a deep
learning model called CRCNet for optical diagnosis of CRC by training on 464,105 images …

Artificial intelligence (AI) presents a novel platform for improving disease diagnosis.
However, the clinical utility of AI remains limited to discovery studies, with poor translation to …