Abstract
A computer‐aided endoscopic optical coherence tomography (OCT) device was developed to guide the Veress needle insertion into the abdominal cavity. Four tissue layers which Veress needle went through were successfully visualized. Convolutional neural network (CNN) was used to automatically recognize the tissues and estimate the distance between needle tip and small intestine. Promising prediction results (98.53±0.39% for tissue recognition accuracy and 4.42±0.56% for distance estimation relative error) were obtained.Further details can be found in the article by Chen Wang, Justin C. Reynolds, Paul Calle, Avery D. Ladymon, Feng Yan, Yuyang Yan, Sam Ton, Kar‐ming Fung, Sanjay G. Patel, Zhongxin Yu, Chongle Pan, and Qinggong Tang (e202100347)image
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