Automatic Brain Tumor Segmentation Using Convolutional Neural Networks: U-Net Framework with PSO-Tuned Hyperparameters

被引：0
|
作者：
Saifullah, Shoffan [1 ,2 ]
Dreżewski, Rafal [1 ]
机构：
[1] Faculty of Computer Science, AGH University of Krakow, Krakow,30-059, Poland
[2] Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Yogyakarta,55281, Indonesia
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2024年 / 15150 LNCS卷
关键词：
Brain tumor segmentation - Convolutional neural network - Deep learning - Hyper-parameter - Jaccard index - Medical image analysis - Particle swarm - Particle swarm optimization - Similarity coefficients - Swarm optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
61
引用
收藏
页码：333 / 351
相关论文
共 50 条
  • [21] Automatic Tumor Segmentation Using Convolutional Neural Networks
    Sankari, A.
    Vigneshwari, S.
    2017 THIRD INTERNATIONAL CONFERENCE ON SCIENCE TECHNOLOGY ENGINEERING & MANAGEMENT (ICONSTEM), 2017, : 268 - 272
  • [22] Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks
    Wang, Guotai
    Li, Wenqi
    Ourselin, Sebastien
    Vercauteren, Tom
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2017, 2018, 10670 : 178 - 190
  • [23] Automatic Tumor Segmentation in Digital Breast Tomosynthesis Using U-Net
    Qasem, A.
    Qin, G.
    Wang, J.
    Zhou, Z.
    MEDICAL PHYSICS, 2020, 47 (06) : E584 - E584
  • [24] Automatic Segmentation on Glioblastoma Brain Tumor Magnetic Resonance Imaging Using Modified U-Net
    Tjahyaningtijas, Hapsari Peni Agustin
    Nugroho, Andi Kurniawan
    Angkoso, Cucun Very
    Purnama, I. Ketut Eddy
    Purnomo, Mauridhi Hery
    EMITTER-INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGY, 2020, 8 (01) : 161 - 177
  • [25] An automatic brain tumor segmentation using modified inception module based U-Net model
    Kumar, K. Sambath
    Rajendran, A.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 42 (03) : 2743 - 2754
  • [26] Exploring the U-Net plus plus Model for Automatic Brain Tumor Segmentation
    Micallef, Neil
    Seychell, Dylan
    Bajada, Claude J.
    IEEE ACCESS, 2021, 9 : 125523 - 125539
  • [27] End-to-End Automated Iris Segmentation Framework Using U-Net Convolutional Neural Network
    Chai, Tong-Yuen
    Goi, Bok-Min
    Hong, Ye-Yi
    INFORMATION SCIENCE AND APPLICATIONS, 2020, 621 : 259 - 267
  • [28] Sperm Cell Segmentation in Digital Micrographs based on Convolutional Neural Networks using U-Net Architecture
    Melendez, Roy
    Beltran Castanon, Cesar
    Medina-Rodriguez, Rosario
    2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), 2021, : 91 - 96
  • [29] Semantic Segmentation of Weeds and Crops in Multispectral Images by Using a Convolutional Neural Networks Based on U-Net
    Chicchon Apaza, Miguel Angel
    Bedon Monzon, Hector Manuel
    Alcarria, Ramon
    APPLIED TECHNOLOGIES (ICAT 2019), PT II, 2020, 1194 : 473 - 485
  • [30] HTTU-Net: Hybrid Two Track U-Net for Automatic Brain Tumor Segmentation
    Aboelenein, Nagwa M.
    Piao Songhao
    Koubaa, Anis
    Noor, Alam
    Afifi, Ahmed
    IEEE ACCESS, 2020, 8 : 101406 - 101415
12345