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Pulmonary Nodule Detection based on Faster R-CNN with Adaptive Anchor Box
2021
IEEE Access
Early pulmonary nodule detection is very important in lung cancer diagnosis and screening. 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. However, this object detection approach faces difficulties with the variety of nodule sizes in training datasets. In this paper, we propose a novel Computer-Aided Detection (CAD) system based on Faster R-CNN model with adaptive anchor box for lung
doi:10.1109/access.2021.3128942
fatcat:oi3grzjrqnbi7e2imb2s3idaim