Publications by authors named "Bao-Chun Zhao"
Article Synopsis
- - The study investigates the use of deep neural networks, specifically FR-CNN, to improve the identification of perigastric metastatic lymph nodes (PGMLNs) in CT scans, aiming to mimic and enhance radiologists' recognition abilities.
- - A dataset of 1371 labeled CT images and additional original images was analyzed to compare the accuracy of the FR-CNN model against radiologists' assessments, with initial results showing promising metrics for precision and recall.
- - After refining the model, improvements in accuracy were noted, with metrics like mean average precision (mAP) increasing from 0.5019 to 0.7801, and area under the curve (AUC) rising from 0.8995 to 0.
Background: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to comprehensively verify its accuracy in clinical use.
Methods: Four hundred fourteen patients with rectal cancer discharged between January 2013 and March 2015 were collected from 6 clinical centers, and the magnetic resonance imaging data for pelvic metastatic LNs of each patient was identified by Faster R-CNN.