Tu.P11.A-56
FUSING CSWIN-UNET WITH EDGE GUIDANCE FOR COLON POLYP SEGMENTATION
Xinyue Xiao, Xinle Dong, Jiayi Zhao, Yile Jiang, Yunnan University
Session:
Tu.P11: Gastrointestinal & Endoscopy Imaging I Poster
Track:
Biomedical Imaging and Image Processing
Location:
Hall E; Bay A, Board #56
Presentation Time:
Tuesday, 28 July, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session Tu.P11
Tu.P11.A-51: AN END-TO-END AI-BASED AUTOMATED FOOD WEIGHT ESTIMATION SYSTEM FROM CAMERA IMAGES
TRAIANOS TSIOKRIS, DIMITRIOS ZARIDIS, DAPHNE PLATI, VASILEIOS PEZOULAS, EUGENIA MYLONA, Unit of Medical Technology and Intelligent Information Systems; FRANCESCO SCOTTO DI LUZIO, NEVIO LUIGI TAGLIAMONTE, LOREDANNA ZOLLO, Research Unit of Advanced Robotics and Human-Centered Technologies; Dimitrios FOTIADIS, Unit of Medical Technology and Intelligent Information Systems; Constantinos S. Pattichis, Department of Computer Science & Biomedical Engineering Research Centre, University of Cyprus, & CYENS Centre of Excellence
Tu.P11.A-52: ENDOGATE-NET: A GATED MULTI-TASK FRAMEWORK FOR REAL-TIME GI VIDEO ANALYSIS
Janak Dave, Indian Institute of Technology-Madras; Jagadheeswari BV, Healthcare Technology Innovation Centre; Amalan S, Indian Institute of Technology-Madras; Sudipta Dhar Chowdhury, Joy Mammen, John Titus George, Nicholas Vijay Rao, Noble Varghese Mathews, Amith Viswanath, Christian Medical College; Preejith SP, Healthcare Technology Innovation Centre; Mohanasankar Sivaprakasam, Indian Institute of Technology-Madras
Tu.P11.A-53: A NOVEL CONTRACTION MAPPING FRAMEWORK COMPARES ELECTROMECHANICAL ACTIVITY OF THE STOMACH.
Nipuni D. Nagahawatte, Mindula Irugalbandara, Sophie Rose, Recep Avci, Leo K. Cheng, University of Auckland
Tu.P11.A-54: Evaluating Synthetic Data Augmentation for Polyp Segmentation Models
Lucas Neves, Adalberto Barbosa Junior, Ricardo Franco, Federal University of Goiás
Tu.P11.A-55: RADIOMICS AS A PROBE FOR DOMAIN SHIFT IN GASTRIC ENDOSCOPY
Nina Lichtenberger, Eduarda Almeida, INESC TEC / University of Porto; Andrei Voiosu, Colentina Clinical Hospital; Noa Kapteijn, Judith Honing, Erasmus Medical Center; Mario Dinis-Ribeiro, RISE@CI-IPOP, Faculty of Medicine of the University of Porto; Miguel Coimbra, INESC TEC / University of Porto
Tu.P11.A-56: FUSING CSWIN-UNET WITH EDGE GUIDANCE FOR COLON POLYP SEGMENTATION
Xinyue Xiao, Xinle Dong, Jiayi Zhao, Yile Jiang, Yunnan University
Tu.P11.A-57: ZERO-SHOT PROMPTABLE DYNAMIC GASTRIC MRI SEGMENTATION BASED ON SAM-2
Luxiao Yu, Xiaokai Wang, Zhongming Liu, University of Michigan
Tu.P11.A-58: BBox-UNet: Enhancing Glottis Segmentation by Intermediate Bounding Box Fusion
Amir Hosein Kamali, Behzad Mirmahboub, Nader Karimi, Isfahan University of Technology; Shahram Shirani, McMaster University; Shadrokh Samavi, Seattle University
Tu.P11.A-59: MITIGATING DOMAIN SHIFT IN GASTROINTESTINAL IMAGE ANALYSIS VIA SELF-SUPERVISED LEARNING
Inês Lopes, INESC-TEC; Mário Dinis-Ribeiro, MEDCIDS; Andrei Voiosu, Colentina Clinical Hospital; Miguel Coimbra, Francesco Renna, INESC-TEC
Tu.P11.A-60: Endoscopy-Aware Self Supervised Monocular Depth Estimation Using Reliability Guided Learning
Podakanti Satyajith Chary, Nagarajan Ganapathy, IIT Hyderabad
Tu.P11.A-61: A Low-Power Ingestible Infrared Thermal-Imaging Capsule for Functional Gastrointestinal Monitoring
Hongtao Li, Fengyuan Yan, Qi Ma, Chen Shen, Tiancheng Cao, Hen-Wei Huang, Nanyang Technological University
Tu.P11.A-62: HIGR-NET: A HIERARCHICAL GLARE REMOVAL NETWORK FOR ENDOSCOPIC IMAGES
Yile Jiang, Yunnan University; Zi Lei, First Affiliated Hospital of Kunming Medical University; ZhiKang Huang, Shijinyi Hu, Wenbing Lv, Yunnan University; Jiarong Miao, First Affiliated Hospital of Kunming Medical University
Tu.P11.A-63: PREDICTING MUCOSAL DEFORMATION: IDENTIFYING UNSTABLE LANDMARKS FOR CYSTOSCOPIC DIGITAL TWINS
Franziska Krauß, Stephanie Geißler, Matthias Ege, Zoltan Lovasz, University of Stuttgart; Albrecht Bartz-Schmidt, Igor Tsaur, University of Tübingen; Oliver Sawodny, University of Stuttgart; Carina Veil, Stanford University
Resources
No resources available.