LIVERCOLOR: an algorithm quantification of liver graft steatosis using machine learning and color image processing

被引：0
|
作者：
Gomez-Gavara, C. [1 ]
Campos, I. [2 ]
Piella, G. [3 ]
Vazquez, J. [4 ]
Moya, M. [4 ]
Martiin, R. [1 ]
Pares, B. [5 ]
Salcedo, M. T. [6 ]
Pando, E. [5 ]
Molino, J. A. [1 ]
Dopazo, C. [1 ]
Caralt, M. [1 ]
Hidalgo, E. [1 ]
Bilbao, I. [1 ]
Charco, R. [1 ]
机构：
[1] Vall dHebron Univ Hosp, HBP & Transplantat Surg, Barcelona, Spain
[2] Vall dHebron Univ Hosp, HBP & Transplantat Dept, Barcelona, Spain
[3] Univ Pompeu Fabra, Biotechnol, Barcelona, Spain
[4] Univ Pompeu Fabra, Barcelona, Spain
[5] Vall dHebron Univ Hosp, Barcelona, Spain
[6] Vall dHebron Univ Hosp, Pathol, Barcelona, Spain
来源：
TRANSPLANTATION | 2021年 / 105卷 / 08期
关键词：
D O I：
暂无
中图分类号：
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号：
100102 ;
摘要：
O-007
引用
收藏
页码：27 / 27
页数：1
相关论文
共 50 条
  • [41] Evolutionary Algorithm with Machine Learning Enabled Color Texture Image Segmentation and Classification Model
    Dept. of Computer Science & Engineering, RMKCET, Tamilnadu, Chennai
    601206, India
    不详
    637 215, India
    1600,
  • [42] Automated detection, quantification and characterization of osteoclasts in cultures using a combined image-processing and machine-learning strategy
    Heindl, A.
    Schepelmann, M.
    Stumberger, R.
    Nussbaumer, A.
    Pietschmann, P.
    Bises, G.
    Rogojanu, R.
    Thalhammer, T.
    Seewald, A.
    Ettinger, I.
    BONE, 2011, 48 : S125 - S126
  • [43] Design of a color image processing algorithm using on-line arithmetic modules
    Sinky, MH
    Tenca, AF
    Shantilal, AC
    Lucchese, L
    ADVANCED SIGNAL PROCESSING ALGORITHMS, ARCHITECTURES, AND IMPLEMENTATIONS XIV, 2004, 5559 : 79 - 90
  • [44] Embedded Machine Learning for Mango Classification Using Image Processing and Support Vector Machine
    Minh Thanh Vo
    Tuan Due Nguyen
    Dang, Nhan T.
    PROCEEDINGS OF 2019 6TH NATIONAL FOUNDATION FOR SCIENCE AND TECHNOLOGY DEVELOPMENT (NAFOSTED) CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS), 2019, : 279 - 284
  • [45] An Integrative Approach for Mineral Nutrient Quantification in Dioscorea Leaves: Uniting Image Processing and Machine Learning
    Song, Yufei
    Meng, Xi
    Li, Yan
    Liu, Zhiguo
    Zhang, Huitao
    TRAITEMENT DU SIGNAL, 2023, 40 (03) : 1153 - 1161
  • [46] Image Processing Methods for Face Recognition using Machine Learning Techniques
    Babu, T. R. Ganesh
    Shenbagadevi, K.
    Shoba, V. Sri
    Shrinidhi, S.
    Sabitha, J.
    Saravanakumar, U.
    2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2021), 2021, : 519 - 523
  • [47] Detecting Jute Plant Disease Using Image Processing and Machine Learning
    Reza, Zarreen Naowal
    Nuzhat, Faiza
    Mahsa, Nuzhat Ashraf
    Ali, Md. Haider
    2016 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION & COMMUNICATION TECHNOLOGY (ICEEICT), 2016,
  • [48] Visual exploration of fault detection using machine learning and image processing
    Babu, D. Vijendra
    Jyothi, K.
    Mishra, Divyendu Kumar
    Dwivedi, Atul Kumar
    Raj, E. Fantin Irudaya
    Laddha, Shilpa
    INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION, 2023, 14 (01) : 8 - 15
  • [49] Nonlinear analysis of shell structures using image processing and machine learning
    Nashed, M. S.
    Renno, J.
    Mohamed, M. S.
    ADVANCES IN ENGINEERING SOFTWARE, 2023, 176
  • [50] Indian fake currency detection using image processing and machine learning
    Sai Charan Deep Bandu
    Murari Kakileti
    Shyam Sunder Jannu Soloman
    Nagaraju Baydeti
    International Journal of Information Technology, 2024, 16 (8) : 4953 - 4966
12345