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Pulmonary Nodule Detection based on Faster R-CNN with Adaptive Anchor Box

Chi Cuong Nguyen, Giang Son Tran, Van Thi Nguyen, Jean-Christophe Burie, Thi Phuong Nghiem
2021 IEEE Access  
In this paper, we propose a novel Computer-Aided Detection (CAD) system based on Faster R-CNN model with adaptive anchor box for lung nodule detection.  ...  Most stateof-the-art lung nodule detection models are based on Faster Region-based Convolutional Neural Network (Faster R-CNN) due to its superior performance.  ...  Acknowledgements The authors would like to thank University of Science and Technology of Hanoi (USTH) for funding this research in the scope of project USTH.ICT.01/20-22.  ... 
doi:10.1109/access.2021.3128942 fatcat:oi3grzjrqnbi7e2imb2s3idaim

Introduction to the Special Issue on Computational Intelligence for Biomedical Data and Imaging

M. Tanveer, P. Khanna, M. Prasad, C. T. Lin
2020 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Novel machine learning-and deep learning-based methods are needed to address the challenges to biomedical data.  ...  There is a need to explore novel feature selection methods to improve predictive performance along with interpretation and to explore large-scale data in the biomedical sciences.  ...  The article "Pulmonary Nodule Detection Based on ISODATA-improved Faster RCNN and 3D-CNN with Focal Loss," by Chao Tong, Baoyu Liang, Mengze Zhang, Rongshan Chen, Arun Kumar Sangaiah, Zhigao Zheng, Tao  ... 
doi:10.1145/3381919 fatcat:taaidy72hzaxjcmrozp6qmmbt4