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  • Open Access


    Dynamic Selection of Optional Feature for Object Detection

    Jun Wang1, Tingjuan Zhang2,*, Yong Cheng3, Prof Mingshun Jiang4

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 927-940, 2022, DOI:10.32604/iasc.2022.026847

    Abstract To obtain the most intuitive pedestrian target detection results and avoid the impact of motion pose uncertainty on real-time detection, a pedestrian target detection system based on a convolutional neural network was designed. Dynamic Selection of Optional Feature (DSOF) module and a center branch were proposed in this paper, and the target was detected by an anchor-free method. Although almost all the most advanced target detectors use pre-defined anchor boxes to run through the possible positions, scales, and aspect ratios of search targets, their effectualness, and generalization ability are also limited by the anchor boxes.… More >

  • Open Access


    A Polyp Detection Method Based on FBnet

    Jingjing Wan1, Taiyue Chen2, *, Bolun Chen2, 3, *, Yongtao Yu2, Yiyun Sheng2, Xinggang Ma1

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1263-1272, 2020, DOI:10.32604/cmc.2020.010098

    Abstract The incidence of colorectal cancer (CRC) in China has increased in recent years. The mortality rate of CRC has become one of the highest among all cancers; CRC increasingly affects the health and quality of people’s lives. However, due to the insufficiency of medical resources in China, the workload on medical doctors has further increased. In the past few decades, the adult CRC mortality and morbidity rate dropped sharply, mainly because of CRC screening and removal of adenomatous polyps. However, due to the differences in polyp itself and the skills of endoscopists, the detection rate… More >

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