TU2.PC: Biomedical Signal and Image Processing 3
Tue, 16 Sep, 10:00 - 11:30 Anchorage Time (UTC -8)
Location: Poster Area C
Session Type: Poster
Session Chair: Peizhi Yan, University of British Columbia
Track: [BI] Biomedical Signal and Image Processing
Click the to view the manuscript on IEEE Xplore Open Preview

TU2.PC.1: MFB-SAC: A MULTI-SCALE FREQUENCY AND BOUNDARY-ENHANCED SAM FOR CELL SEGMENTATION
Xutao Sun, Xiaolu Xu, Junwen Liu, Yonggong Ren, Liaoning Normal University, China

TU2.PC.2: SEMI-SUPERVISED INFRARED MEIBOMIAN GLAND SEGMENTATION WITH INTRA-PATIENT REGISTRATION AND FEATURE SUPERVISION
Yushun Huang, Kunfeng Lai, Fuzhou University, China; Taichen Lai, Fuzhou University Affiliated Provincial Hospital, China; Jiawen Lin, Fuzhou University, China; Li Li, Fuzhou University Affiliated Provincial Hospital, China

TU2.PC.3: TEXTURING ENDOSCOPIC 3D STOMACH VIA NEURAL RADIANCE FIELD UNDER UNEVEN LIGHTING
Ze-Yan Lu, Ren-Hau Shiue, National Taiwan University, Taiwan; Ming-Lun Han, Kuang-Chen Yen, National Taiwan University Hospital, Taiwan; Homer Chen, National Taiwan University, Taiwan

TU2.PC.4: IMPROVED CERVICAL CELL DETECTION MODEL BASED ON HYBRID-DOMAIN FEATURE PYRAMID NETWORK
Qian Huang, Ziyang Yin, Yulin Chen, Xuejie Zhang, Hao Lu, Zhaoyu Chen, Shaoling Qin, HoHai University, China

TU2.PC.5: GUIDED DIFFUSION FOR CLASS-CONDITIONED SYNTHESIS & CLASSIFICATION OF MICROSCOPIC BLOOD CELL IMAGES
Kar Ee Hoh, Junn Yong Loo, Yee Fan Tan, Raphaël C.-W. Phan, Chee Ming Ting, Monash University, Malaysia campus, Malaysia

TU2.PC.6: BSRPCA: A SIMPLIFIED BLIND SUPER-RESOLVED RPCA-BASED APPROACH FOR ENHANCING BLOOD FLOW ESTIMATION
Xuan-Hieu Le, Université de Toulouse, France; Jean-Pierre Remeniéras, Université de Tours, France; Denis Kouamé, Duong-Hung Pham, Université de Toulouse, France

TU2.PC.7: DISCRETE DIFFUSION PROPAGATED TRANSFORMER FOR FLEXIBLE URETEROSCOPIC SEMANTIC SEGMENTATION
Xiangtao Du, Mingxian Yang, Xiamen University, China; Guangcheng Luo, Zhongshan Hospital, China; Xiongbiao Luo, Xiamen University, China

TU2.PC.8: A Novel Automated System for Pathological Lung Segmentation using Modified Local Binary Patterns and Hierarchical Transformers
Ahmed Sharafeldeen, University of Louisville, United States; Fatma Taher, Zayed University, United Arab Emirates; Mohammed Ghazal, Abu Dhabi University, United Arab Emirates; Ashraf Khalil, Zayed University, United Arab Emirates; Ali Mahmoud, Sohail Contractor, Ayman El-Baz, University of Louisville, United States

TU2.PC.9: A NOVEL AI FRAMEWORK FOR BREAST CANCER MOLECULAR BIOMARKER RESPONSE SCORE DETECTION ON CELLS LEVEL USING MARKER-BASED WATERSHED SEGMENTATION AND MACHINE LEARNING CLASSIFIERS
Ahmed Aboudessouki, UNIVERSITY OF LOUISVILLE, United States; Khadiga Ali, Mansoura University, Egypt; Ahmed Alksas, Mohamed Elsharkawy, Mohamed Azam, Hossam Balaha, UNIVERSITY OF LOUISVILLE, United States; Mohamed Aborahma, Mansoura University, Egypt; Ali Mahmoud, UNIVERSITY OF LOUISVILLE, United States; Mohammed Ghazal, Abu Dhabi University, United Arab Emirates; Fatma Taher, Zayed University, United Arab Emirates; Nagham Mekky, Eman El-daydamony, Mansoura University, Egypt; Dibson Gondim, Ayman El-Baz, University Of Louisville, United States

TU2.PC.10: SKIN CANCER CLASSIFICATION USING EXTENDED 5 CHANNEL (I-RGB-U) IMAGES GENERATED FROM RGB IMAGES
Ryota Fuse, Koki Shimizu, Terumasa Aoki, Tokyo University of Technology, Japan