We.3.3.1
Toward Reliable Pneumonia CT Segmentation: A Federated Semi-Supervised Learning Approach
Zhengjie Ji, Ningbo Institute of Digital Twin, Eastern Institute of Technology; Shudi Bao, Ningbo Institute of Digital Twin, Eastern Institute of Technology；National Mobile Communications Research Laboratory, Southeast University; Meng Chen, Ningbo University of Technology
Session:
We.3.3: Deep Learning Architectures for Medical Image Segmentation Oral
Track:
Biomedical Imaging and Image Processing
Location:
Room 803AB
Presentation Time:
Wednesday, 29 July, 14:30 - 14:45
Session Co-Chairs:
Massoud Khraiche and Hangsik Shin
Presentation
Discussion
Resources
No resources available.
Session We.3.3
We.3.3.1: Toward Reliable Pneumonia CT Segmentation: A Federated Semi-Supervised Learning Approach
Zhengjie Ji, Ningbo Institute of Digital Twin, Eastern Institute of Technology; Shudi Bao, Ningbo Institute of Digital Twin, Eastern Institute of Technology；National Mobile Communications Research Laboratory, Southeast University; Meng Chen, Ningbo University of Technology
We.3.3.2: Align then Refine: Text-Guided 3D Prostate Lesion Segmentation
Cuiling Sun, Linkai Peng, Adam Murphy, Elif Keles, Hiten Patel, Ashley Ross, Frank Miller, Northwestern University; Baris Turkbey, National Cancer Institute; Andrea Bejar, Halil Aktas, Gorkem Durak, Ulas Bagci, Northwestern University
We.3.3.3: DEDFS: Dual Encoder and Decoder Fusion Sampling for Active Learning in Medical Image Segmentation
Yansong Huang, Southern University of Science and Technology; Li Lin, The University of Hong Kong; Yixiang Liu, Southern University of Science and Technology; Bowen Huang, Sun Yat-sen University Cancer Center; Xiaoying Tang, Southern University of Science and Technology
We.3.3.4: Segment Anything for Brightfield Microscopy at Any Magnification and Focus
Abdullah Tauqeer, Maryam Parsian, Amir Asif, Ali Sadeghi-Naini, York University
We.3.3.5: LEVERAGING AI UNCERTAINTY FOR TARGETED 3D MEDICAL IMAGE SEGMENTATION REVIEW
Filipa Sousa, Institute for Systems and Computer Engineering, Technology and Science; Cátia Costa, Fábio Nunes, Ricardo Fontes-Carvalho, Local Health Unit of Gaia and Espinho; Bram Packet, Laura Cattani, Helena Williams, KU Leuven; João Pedrosa, Institute for Systems and Computer Engineering, Technology and Science
We.3.3.6: Multimodal MRI Fusion for Cerebral Vessel Segmentation using Knowledge Distillation Framework
LINGFEN XIA, Sheir Nee Saw, university malaya
Resources
No resources available.