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  • Open Access

    ARTICLE

    PD-YOLO: Colon Polyp Detection Model Based on Enhanced Small-Target Feature Extraction

    Yicong Yu1,2, Kaixin Lin1, Jiajun Hong1, Rong-Guei Tsai3,*, Yuanzhi Huang1

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 913-928, 2025, DOI:10.32604/cmc.2024.058467 - 03 January 2025

    Abstract In recent years, the number of patients with colon disease has increased significantly. Colon polyps are the precursor lesions of colon cancer. If not diagnosed in time, they can easily develop into colon cancer, posing a serious threat to patients’ lives and health. A colonoscopy is an important means of detecting colon polyps. However, in polyp imaging, due to the large differences and diverse types of polyps in size, shape, color, etc., traditional detection methods face the problem of high false positive rates, which creates problems for doctors during the diagnosis process. In order to… More >

  • Open Access

    ARTICLE

    Automated Colonic Polyp Detection and Classification Enabled Northern Goshawk Optimization with Deep Learning

    Mohammed Jasim Mohammed Jasim1, Bzar Khidir Hussan2, Subhi R. M. Zeebaree3,*, Zainab Salih Ageed4

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3677-3693, 2023, DOI:10.32604/cmc.2023.037363 - 31 March 2023

    Abstract The major mortality factor relevant to the intestinal tract is the growth of tumorous cells (polyps) in various parts. More specifically, colonic polyps have a high rate and are recognized as a precursor of colon cancer growth. Endoscopy is the conventional technique for detecting colon polyps, and considerable research has proved that automated diagnosis of image regions that might have polyps within the colon might be used to help experts for decreasing the polyp miss rate. The automated diagnosis of polyps in a computer-aided diagnosis (CAD) method is implemented using statistical analysis. Nowadays, Deep Learning,… More >

  • Open Access

    ARTICLE

    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 - 30 April 2020

    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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