Deep Learning Model Trained on Mobile PhoneAcquired Frozen Section Images Effectively Detects Basal Cell Carcinoma |Biomedgrid
Journal: American Journal of Biomedical Science & Research (Vol.12, No. 6)Publication Date: 2021-05-07
Authors : Junli Cao¶; Hsiaohan Tuan¶; Junyan Wu; Jing W Zhang; Jay J Ye; Limin Yu;
Page : 607-610
Keywords : Deep learning; Semantic Segmentation; Basal Cell Carcinoma; Frozen Section; Surgery;
Abstract
Margin assessment of basal cell carcinoma using the frozen section is a common task of pathology intraoperative consultation. Although frequently straightforward, the determination of the presence or absence of basal cell carcinoma on the tissue sections can sometimes be challenging. We explore if a deep learning model trained on mobile phone-acquired frozen section images can have adequate performance for future deployment.
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