MP2.PA.7
FedMI: A FEDERATED LEARNING FRAMEWOEK FOR SECURE SHARING OF MEDICAL IMAGES
Zhongyuan Jing, Chongqing University of Posts and Telecommunications, China; Hongyan Xiang, Chongqing General Hospital, China; Ruyan Wang, Chongqing University of Posts and Telecommunications, China
Session:
MP2.PA: Medical Image Analysis - V Poster
Track:
Biomedical Image Processing
Location:
Poster Area A
Presentation Time:
Mon, 28 Oct, 16:30 - 18:00 Gulf Standard Time (UTC +4)
Session Co-Chairs:
Motaz Alfarraj, King Fahd University of Petroleum and Minerals (KFUPM) and Muhammad Haris Khan, Mohamed bin Zayed University of Artificial Intelligence
Session MP2.PA
MP2.PA.1: SEGMENTATION OF HARD EXUDATES AND HEMORRHAGES FROM DIABETIC RETINOPATHY IMAGES USING RESIDUAL U-NET WITH SQUEEZE AND EXCITE BLOCKS
Avinash Gaikwad, Anjali Gautam, Indian Institute of Information Technology, Allahabad, India
MP2.PA.2: GIRAFFE: A GENETIC PROGRAMMING ALGORITHM TO BUILD DEEP LEARNING ENSEMBLES FOR ECG ARRHYTHMIA CLASSIFICATION
Damian Kucharski, Agata M. Wijata, Silesian University of Technology, Poland; Lu Fu, Weidong Lin, Yumei Xue, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital Guangdong Academy of Medical Sciences, China; Jacek Kawa, Silesian University of Technology, Poland; Yalin Zheng, Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Department of Eye and Vision Science, Institute of Life Course and Medical Sciences, University of Liverpool, United Kingdom of Great Britain and Northern Ireland; Gregory Y. H. Lip, Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom; and Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark, United Kingdom of Great Britain and Northern Ireland; Jakub Nalepa, Silesian University of Technology, Poland
MP2.PA.3: NAVIGATING LIMITATIONS WITH PRECISION: A FINE-GRAINED ENSEMBLE APPROACH TO WRIST PATHOLOGY RECOGNITION ON A LIMITED X-RAY DATASET
Ammar Ahmed, Ali Shariq Imran, Mohib Ullah, Norwegian University of Science and Technology, Norway; Zenun Kastrati, Linnaeus University, Sweden; Sher Muhammad Daudpota, Sukkur IBA University, Pakistan
MP2.PA.4: CONTOUR-WEIGHTED LOSS FOR CLASS-IMBALANCED IMAGE SEGMENTATION
Zhengyong Huang, Yao Sui, National Institute of Health Data Science, Peking University, China
MP2.PA.5: MULTI-MODAL MEDICAL IMAGE FUSION FOR NON-SMALL CELL LUNG CANCER CLASSIFICATION
Salma Hassan, Hamad Al Hammadi, Ibrahim Mohammed, Muhammad Haris Khan, Mohamed Bin Zayed University of AI, United Arab Emirates
MP2.PA.6: GUIDED CONTEXT GATING: LEARNING TO LEVERAGE SALIENT LESIONS IN RETINAL FUNDUS IMAGES
Teja Krishna Cherukuri, Nagur Shareef Shaik, Dong Hye Ye, Georgia State University, United States of America
MP2.PA.7: FedMI: A FEDERATED LEARNING FRAMEWOEK FOR SECURE SHARING OF MEDICAL IMAGES
Zhongyuan Jing, Chongqing University of Posts and Telecommunications, China; Hongyan Xiang, Chongqing General Hospital, China; Ruyan Wang, Chongqing University of Posts and Telecommunications, China
MP2.PA.8: DCCTNET: KIDNEY TUMORS SEGMENTATION BASED ON DUAL-LEVEL COMBINATION OF CNN AND TRANSFORMER
Bingzhen Hou, Guimei Zhang, Nanchang Hangkong University, China; Huiqun Liu, Jiangxi Cancer Hospital, China; Yipeng Qin, Cardiff University, China; Ying Chen, Nanchang Hangkong University, China
MP2.PA.9: WAVELET-ENHANCED CNN FOR DEPRESSION CLASSIFICATION BASED ON MRI IMAGES
Yawei Zhang, Bo Li, Xin Li, Yuhan Huang, Hui Ding, Capital Normal University, China
MP2.PA.10: ADVANCING COLORECTAL POLYP SEGMENTATION WITH WATERSHED ALGORITHM-ENHANCED PARALLEL SELF-SUPERVISED LEARNING
Khalil Chikhaoui, Motaz Alfarraj, King Fahd University of Petroleum and Minerals, Saudi Arabia
MP2.PA.11: MULTICLASSIFICATION OF VOCAL FOLDS DISORDERS FROM VIDEOS BY SPATIO-TEMPORAL DEEP FEATURES
Dhouha Attia, Univ. of Carthage, ISTIC Borj Cédria LR11TIC01, COSIM Lab, Tunisia, Tunisia; Amel Benazza-Benyahia, Univ. of Carthage, SUP’COM LR11TIC01, COSIM Lab., Tunisia, Tunisia
MP2.PA.12: EVENT-SPECIFIC EEG-FNIRS FEATURE FUSION FOR ALZHEIMER’S DISEASE CLASSIFICATION
Sung-Hyeon Kim, Korea Advanced Institute of Science and Technology, Korea, Republic of; Tae-Min Choi, Korea Advanced Institute of Science and Technology, Korea Institute of Science and Technology, Korea, Republic of; Sun-Kyung Lee, Korea Advanced Institute of Science and Technology, Korea, Republic of; Minhee Kim, Jae Gwan Kim, Gwangju Institute of Science and Technology, Korea, Republic of; Jong-Hwan Kim, Korea Advanced Institute of Science and Technology, Korea, Republic of
Contacts