A Comparison of Different U-Net Models for Segmentation of Overlapping Organoids

被引:0
|
作者
Bernoulli Institute, University of Groningen, Netherlands [1 ]
不详 [2 ]
机构
来源
关键词
461.4 Ergonomics and Human Factors Engineering - 716.1 Information Theory and Signal Processing - 722.3 Data Communication; Equipment and Techniques - 723.2 Data Processing and Image Processing - 723.4 Artificial Intelligence;
D O I
暂无
中图分类号
学科分类号
摘要
Decoding
引用
收藏
页码:1 / 10
相关论文
共 50 条
  • [21] MSR U-Net: An Improved U-Net Model for Retinal Blood Vessel Segmentation
    Kande, Giri Babu
    Ravi, Logesh
    Kande, Nitya
    Nalluri, Madhusudana Rao
    Kotb, Hossam
    Aboras, Kareem M.
    Yousef, Amr
    Ghadi, Yazeed Yasin
    Sasikumar, A.
    IEEE ACCESS, 2024, 12 : 534 - 551
  • [22] MSR U-Net: An Improved U-Net Model for Retinal Blood Vessel Segmentation
    Kande, Giri Babu
    Ravi, Logesh
    Kande, Nitya
    Nalluri, Madhusudana Rao
    Kotb, Hossam
    Aboras, Kareem M.
    Yousef, Amr
    Ghadi, Yazeed Yasin
    Sasikumar, A.
    IEEE Access, 2024, 12 : 534 - 551
  • [23] An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images
    Causey, Jason
    Stubblefield, Jonathan
    Qualls, Jake
    Fowler, Jennifer
    Cai, Lingrui
    Walker, Karl
    Guan, Yuanfang
    Huang, Xiuzhen
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2022, 19 (03) : 1387 - 1392
  • [24] Semantic Segmentation of Tumors in Kidneys using Attention U-Net Models
    Geethanjali, T. M.
    Minavathi
    Dinesh, M. S.
    2021 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER TECHNOLOGIES AND OPTIMIZATION TECHNIQUES (ICEECCOT), 2021, : 286 - 290
  • [25] Microstructural segmentation using a union of attention guided U-Net models with different color transformed images
    Momojit Biswas
    Rishav Pramanik
    Shibaprasad Sen
    Aleksandr Sinitca
    Dmitry Kaplun
    Ram Sarkar
    Scientific Reports, 13
  • [26] Microstructural segmentation using a union of attention guided U-Net models with different color transformed images
    Biswas, Momojit
    Pramanik, Rishav
    Sen, Shibaprasad
    Sinitca, Aleksandr
    Kaplun, Dmitry
    Sarkar, Ram
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [27] MVP U-Net: Multi-View Pointwise U-Net for Brain Tumor Segmentation
    Zhao, Changchen
    Zhao, Zhiming
    Zeng, Qingrun
    Feng, Yuanjing
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES (BRAINLES 2020), PT II, 2021, 12659 : 93 - 103
  • [28] Pixel U-Net: an improved version of U-Net for binary segmentation of wind turbine blades
    Rizvi, Syed Zeeshan
    Jamil, Mohsin
    Huang, Weimin
    SIGNAL IMAGE AND VIDEO PROCESSING, 2024, 18 (8-9) : 6299 - 6307
  • [29] Modifying U-Net for small dataset - a simplified U-Net version for Liver Parenchyma segmentation
    Prasad, Pravda Jith Ray
    Elle, Ole Jakob
    Lindseth, Frank
    Albregtsen, Fritz
    Kumar, Rahul Prasanna
    MEDICAL IMAGING 2021: COMPUTER-AIDED DIAGNOSIS, 2021, 11597
  • [30] GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
    Li, Yunxiang
    Wang, Shuai
    Wang, Jun
    Zeng, Guodong
    Liu, Wenjun
    Zhang, Qianni
    Jin, Qun
    Wang, Yaqi
    MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2021, 2021, 12966 : 386 - 395