Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (21)
  • Open Access

    ARTICLE

    Encoder-Guided Latent Space Search Based on Generative Networks for Stereo Disparity Estimation in Surgical Imaging

    Guangyu Xu1,2, Siyuan Xu3, Siyu Lu4,*, Yuxin Liu1, Bo Yang1, Junmin Lyu5, Wenfeng Zheng1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4037-4053, 2025, DOI:10.32604/cmes.2025.074901 - 23 December 2025

    Abstract Robust stereo disparity estimation plays a critical role in minimally invasive surgery, where dynamic soft tissues, specular reflections, and data scarcity pose major challenges to traditional end-to-end deep learning and deformable model-based methods. In this paper, we propose a novel disparity estimation framework that leverages a pretrained StyleGAN generator to represent the disparity manifold of Minimally Invasive Surgery (MIS) scenes and reformulates the stereo matching task as a latent-space optimization problem. Specifically, given a stereo pair, we search for the optimal latent vector in the intermediate latent space of StyleGAN, such that the photometric reconstruction… More >

  • Open Access

    ARTICLE

    Multi-Scale Feature Fusion Network Model for Wireless Capsule Endoscopic Intestinal Lesion Detection

    Shiren Ye, Qi Meng, Shuo Zhang, Hui Wang*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2415-2429, 2025, DOI:10.32604/cmc.2024.058250 - 17 February 2025

    Abstract WCE (Wireless Capsule Endoscopy) is a new technology that combines computer vision and medicine, allowing doctors to visualize the conditions inside the intestines, achieving good diagnostic results. However, due to the complex intestinal environment and limited pixel resolution of WCE videos, lesions are not easily detectable, and it takes an experienced doctor 1–2 h to analyze a complete WCE video. The use of computer-aided diagnostic methods, assisting or even replacing manual WCE diagnosis, has significant application value. In response to the issue of intestinal lesion detection in WCE videos, this paper proposes a multi-scale feature… More >

  • Open Access

    ARTICLE

    CMMCAN: Lightweight Feature Extraction and Matching Network for Endoscopic Images Based on Adaptive Attention

    Nannan Chong1,2,*, Fan Yang1

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2761-2783, 2024, DOI:10.32604/cmc.2024.052217 - 15 August 2024

    Abstract In minimally invasive surgery, endoscopes or laparoscopes equipped with miniature cameras and tools are used to enter the human body for therapeutic purposes through small incisions or natural cavities. However, in clinical operating environments, endoscopic images often suffer from challenges such as low texture, uneven illumination, and non-rigid structures, which affect feature observation and extraction. This can severely impact surgical navigation or clinical diagnosis due to missing feature points in endoscopic images, leading to treatment and postoperative recovery issues for patients. To address these challenges, this paper introduces, for the first time, a Cross-Channel Multi-Modal… More >

  • Open Access

    ARTICLE

    Optimized Identification with Severity Factors of Gastric Cancer for Internet of Medical Things

    Kamalrulnizam Bin Abu Bakar1, Fatima Tul Zuhra2,*, Babangida Isyaku1,3, Fuad A. Ghaleb1

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 785-798, 2023, DOI:10.32604/cmc.2023.034540 - 06 February 2023

    Abstract The Internet of Medical Things (IoMT) emerges with the vision of the Wireless Body Sensor Network (WBSN) to improve the health monitoring systems and has an enormous impact on the healthcare system for recognizing the levels of risk/severity factors (premature diagnosis, treatment, and supervision of chronic disease i.e., cancer) via wearable/electronic health sensor i.e., wireless endoscopic capsule. However, AI-assisted endoscopy plays a very significant role in the detection of gastric cancer. Convolutional Neural Network (CNN) has been widely used to diagnose gastric cancer based on various feature extraction models, consequently, limiting the identification and categorization… More >

  • Open Access

    ARTICLE

    Semi/Fully-Automated Segmentation of Gastric-Polyp Using Aquila-Optimization-Algorithm Enhanced Images

    Venkatesan Rajinikanth1, Shabnam Mohamed Aslam2, Seifedine Kadry3, Orawit Thinnukool4,*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 4087-4105, 2022, DOI:10.32604/cmc.2022.019786 - 27 September 2021

    Abstract The incident rate of the Gastrointestinal-Disease (GD) in humans is gradually rising due to a variety of reasons and the Endoscopic/Colonoscopic-Image (EI/CI) supported evaluation of the GD is an approved practice. Extraction and evaluation of the suspicious section of the EI/CI is essential to diagnose the disease and its severity. The proposed research aims to implement a joint thresholding and segmentation framework to extract the Gastric-Polyp (GP) with better accuracy. The proposed GP detection system consist; (i) Enhancement of GP region using Aquila-Optimization-Algorithm supported tri-level thresholding with entropy (Fuzzy/Shannon/Kapur) and between-class-variance (Otsu) technique, (ii) Automated More >

  • Open Access

    ARTICLE

    Deep Learning-Based Hookworm Detection in Wireless Capsule Endoscopic Image Using AdaBoost Classifier

    K. Lakshminarayanan1, N. Muthukumaran1, Y. Harold Robinson2, Vimal Shanmuganathan3, Seifedine Kadry4, Yunyoung Nam5,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3045-3055, 2021, DOI:10.32604/cmc.2021.014370 - 01 March 2021

    Abstract Hookworm is an illness caused by an internal sponger called a roundworm. Inferable from deprived cleanliness in the developing nations, hookworm infection is a primary source of concern for both motherly and baby grimness. The current framework for hookworm detection is composed of hybrid convolutional neural networks; explicitly an edge extraction framework alongside a hookworm classification framework is developed. To consolidate the cylindrical zones obtained from the edge extraction framework and the trait map acquired into the hookworm scientific categorization framework, pooling layers are proposed. The hookworms display different profiles, widths, and bend directions. These More >

  • Open Access

    ARTICLE

    Endoscopic guided PCNL in the prone split-leg position versus supine PCNL: a comparative analysis stratified by Guy’s stone score

    Carlos A. Batagello1,2, Hugo D. Barone dos Santos1, Andrew H. Nguyen2, Luay Alshara2, Jianbo Li3, Giovanni Scala Marchini1,2, Fabio C. Vicentini1, Fabio César Miranda Torricelli1,2, Alexandre Danilovic1, Jessica Goulart Pereira1, Emily Rose2, Miguel Srougi1, Willian C. Nahas1, Eduardo Mazzucchi1, Manoj Monga2

    Canadian Journal of Urology, Vol.26, No.1, pp. 9664-9674, 2019

    Abstract Introduction: The optimal patient positioning for percutaneous nephrolithotomy (PCNL) based on the complexity of stone burden is not yet defined. Thus, we aimed to evaluate the intraoperative parameters, effectiveness and complications of patients undergoing PCNL between the endoscopic-guided prone split-leg PCNL (ePSL) and the supine PCNL by stratifying patients according to Guy’s stone score (GSS).
    Materials and methods: A retrospective chart review was conducted of patients undergoing PCNL at two high-volume tertiary referral centers. At one center, patients underwent PCNL using the ePSL technique, while at the second center, patients underwent PCNL in supine. Patient demographics and… More >

  • Open Access

    RESIDENT’S CORNER

    Endoscopic diagnosis of renal pseudoaneurysm following ureteroscopy

    Daniel L. Pelzman, Michelle J. Semins

    Canadian Journal of Urology, Vol.26, No.6, pp. 10061-10063, 2019

    Abstract Renal pseudoaneurysm following ureteroscopy is a rare cause of hematuria usually diagnosed and treated with angiography and embolization. Here we present a case of a small pseudoaneurysm causing intermittent flank pain and gross hematuria associated with clot retention initially diagnosed during ureteroscopy and subsequently treated with a combined endourologic and endovascular approach. More >

  • Open Access

    PEDIATRIC UROLOGY

    Endoscopic placement of double-J ureteric stents in children as a treatment for primary hydronephrosis

    Zenon Pogorelić1,2, Tomislava Brković2, Dražen Budimir1, Jakov Todorić1, Đurđica Košuljandić3, Ana Jerončić4, Mihovil Biočić1, Marijan Saraga2,3

    Canadian Journal of Urology, Vol.24, No.3, pp. 8853-8858, 2017

    Abstract Introduction: The aim of this study was to determine the efficacy and potential complications of double-J ureteric stents in the treatment of primary hydronephrosis in pediatric patients.
    Materials and methods: A retrospective case-records review of 133 patients (45 girls and 88 boys) treated because of primary hydronephrosis with double-J ureteric stents, in Department of Pediatric Surgery, Split University Hospital, between December 1997 and December 2014, was performed. Success of treatment, results of follow up investigations and complications were recorded. Patients were followed up clinically and radiologically for a minimum of 2 years following stent insertion.
    Results: In all, 133… More >

  • Open Access

    ARTICLE

    Laparoendoscopic single-site surgery for treatment of urachal remnants

    Masaaki Yanishi, Hidefumi Kinoshita, Takashi Yoshida, Hisanori Taniguchi, Kenji Yoshida, Takao Mishima, Yoshihiro Komai, Kaneki Yasuda, Motohiko Sugi, Tadashi Matsuda

    Canadian Journal of Urology, Vol.24, No.6, pp. 9098-9102, 2017

    Abstract Introduction: To evaluate safety and excellent cosmetic outcome with laparoendoscopic single-site surgery (LESS). In this study, we compared the usefulness and efficacy of LESS versus conventional laparoscopic surgery for the treatment of urachal remnants.
    Materials and methods: We retrospectively reviewed the medical records of 20 consecutive patients who underwent either conventional laparoscopic surgery or LESS from January 2007 to February 2015 at Kansai Medical University Hospital. Ten patients underwent surgery using the standard laparoscopic 3-port technique, and 10 patients underwent LESS. The patients included 12 males and 8 females (mean age, 24.5 years; range, 10-68 years). The… More >

Displaying 1-10 on page 1 of 21. Per Page