Wound Semantic Segmentation Framework with Encoder- Decoder Architecture

被引:0
|
作者
Jiang, Wenda [1 ]
Gao, Zhen [1 ]
Brahim, Wael [1 ]
机构
[1] McMaster Univ, W Booth Sch Engn Practice & Technol, Fac Engn, Hamilton, ON, Canada
来源
2024 IEEE 4TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND ARTIFICIAL INTELLIGENCE, SEAI 2024 | 2024年
关键词
medical image; encoder-decoder; semantic segmentation; framework;
D O I
10.1109/SEAI62072.2024.10674494
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Medical Image Segmentation Framework (MISEG) is proposed on this study to efficiently streamline the image segmentation challenge in the medical fields. While many existing study related to the medical image segmentation are focusing on the algorithms of accurate segmentation, we expanded our scope to integrate the life cycle of machine learning into medical image segmentation. Under the proposed MISEG framework, we leveraged the Encoder-Decoder model to participate the recent DFUC2022 foot ulcer image segmentation challenge. In this challenge, we have recorded an outstanding accuracy of 0.7501 in IoU score, despite only utilizing 80% of the training data.
引用
收藏
页码:6 / 10
页数:5
相关论文
共 50 条
  • [41] A Residual Encoder-Decoder Network for Semantic Segmentation in Autonomous Driving Scenarios
    Naresh, Y. G.
    Little, Suzanne
    O'Connor, Noel E.
    2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2018, : 1052 - 1056
  • [42] Binarized Encoder-Decoder Network and Binarized Deconvolution Engine for Semantic Segmentation
    Kim, Hyunwoo
    Kim, Jeonghoon
    Choi, Jungwook
    Lee, Jungkeol
    Song, Yong Ho
    IEEE ACCESS, 2021, 9 : 8006 - 8027
  • [43] Deep Convolutional Encoder-Decoder Network with Model Uncertainty for Semantic Segmentation
    Isobe, Shuya
    Arai, Shuichi
    2017 IEEE INTERNATIONAL CONFERENCE ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA), 2017, : 365 - 370
  • [44] A General Two-branch Decoder Architecture for Improving Encoder-decoder Image Segmentation Models
    Hu, Sijie
    Bonardi, Fabien
    Bouchafa, Samia
    Sidibe, Desire
    PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 5, 2022, : 374 - 381
  • [45] A Deep Convolutional Encoder-Decoder Architecture for Retinal Blood Vessels Segmentation
    Adeyinka, Adegun Adekanmi
    Adebiyi, Marion Olubunmi
    Akande, Noah Oluwatobi
    Ogundokun, Roseline Oluwaseun
    Kayode, Anthonia Aderonke
    Oladele, Tinuke Omolewa
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2019, PT V: 19TH INTERNATIONAL CONFERENCE, SAINT PETERSBURG, RUSSIA, JULY 14, 2019, PROCEEDINGS, PART V, 2019, 11623 : 180 - 189
  • [46] Image Segmentation using Encoder-Decoder Architecture and Region Consistency Activation
    Naik, Dinesh
    Jaidhar, C. D.
    2016 11TH INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2016, : 724 - 729
  • [47] Fully Convolutional Encoder-Decoder Architecture (FCEDA) for Skin Lesions Segmentation
    Adegun, Adekanmi
    Viriri, Serestina
    COMPUTATIONAL COLLECTIVE INTELLIGENCE, PT I, 2019, 11683 : 426 - 437
  • [48] An Encoder-Decoder Architecture within a Classical Signal-Processing Framework for Real-Time Barcode Segmentation
    Gomez-Cardenes, Oscar
    Marichal-Hernandez, Jose Gil
    Son, Jung-Young
    Jimenez, Rafael Perez
    Rodriguez-Ramos, Jose Manuel
    SENSORS, 2023, 23 (13)
  • [49] LEDNET: A LIGHTWEIGHT ENCODER-DECODER NETWORK FOR REAL-TIME SEMANTIC SEGMENTATION
    Wang, Yu
    Zhou, Quan
    Liu, Jia
    Xiong, Jian
    Gao, Guangwei
    Wu, Xiaofu
    Latecki, Longin Jan
    2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, : 1860 - 1864
  • [50] ELiFormer: A hierarchical Transformer based Model with Efficient Encoder and Lightweight Decoder for Semantic Segmentation
    Wu, Zixuan
    Zhou, Yue
    2024 2ND ASIA CONFERENCE ON COMPUTER VISION, IMAGE PROCESSING AND PATTERN RECOGNITION, CVIPPR 2024, 2024,