Differentiating gastrointestinal stromal tumors from leiomyomas of upper digestive tract using convolutional neural network model by endoscopic ultrasonography
J Liu, J Huang, Y Song, Q He, W Fang… - Journal of Clinical …, 2024 - journals.lww.com
Background: Gastrointestinal stromal tumors (GISTs) and leiomyomas are the most common
submucosal tumors of the upper digestive tract, and the diagnosis of the tumors is essential
for their treatment and prognosis. However, the ability of endoscopic ultrasonography (EUS)
which could correctly identify the tumor types is limited and closely related to the knowledge,
operational level, and experience of the endoscopists. Therefore, the convolutional neural
network (CNN) is used to assist endoscopists in determining GISTs or leiomyomas with …
submucosal tumors of the upper digestive tract, and the diagnosis of the tumors is essential
for their treatment and prognosis. However, the ability of endoscopic ultrasonography (EUS)
which could correctly identify the tumor types is limited and closely related to the knowledge,
operational level, and experience of the endoscopists. Therefore, the convolutional neural
network (CNN) is used to assist endoscopists in determining GISTs or leiomyomas with …
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