Kyung Won Kwon, Seong Hyeon Park, Dong Hoon Lee, Dong-Young Kim, Il-Ho Park, Hyun-Jin Cho, Jong Seung Kim, Joo Yeon Kim, Sang Duk Hong, Shin Ae Kim, Shin Hyuk Yoo, Soo Kyoung Park, Sung Jae Heo, Sung Hee Kim, Tae-Bin Won, Woo Ri Choi, Yong Min Kim, Yong Wan Kim, Jong-Yeup Kim, Jae Hwan Kwon, Myeong Sang Yu
Nasal endoscopy is routinely performed to distinguish the pathological types of masses. There is a lack of studies on deep learning algorithms for discriminating a wide range of endoscopic nasal cavity mass lesions. Therefore, we aimed to develop an endoscopic-examination-based deep learning model to detect and classify nasal cavity mass lesions, including nasal polyps (NPs), benign tumors, and malignant tumors. The clinical feasibility of the model was evaluated by comparing the results to those of manual assessment...
2024: PloS One