Automated pneumothorax segmentation and quantification algorithm based on deep learning

被引：0
|
作者：
Sae-Lim, Wannipa [1 ]
Wettayaprasit, Wiphada [1 ]
Suwannanon, Ruedeekorn [2 ]
Cheewatanakornkul, Siripong [3 ]
Aiyarak, Pattara [1 ]
机构：
[1] Division of Computational Science, Faculty of Science, Prince of Songkla University, Thailand
[2] Department of Radiology, Faculty of Medicine, Prince of Songkla University, Thailand
[3] Minimally Invasive Surgery Unit, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Thailand
来源：
Intelligent Systems with Applications | / 22卷
关键词：
Engineering Village;
D O I：
200383
中图分类号：
学科分类号：
摘要：
Auto encoders - Chest radiographs - Data refinements - Deep learning - Deep supervision - Medical conditions - Pneumothorax quantification - Pneumothorax segmentation - Pre-training - Two phase
引用
收藏
相关论文
共 50 条
  • [1] Automated pneumothorax segmentation and quantification algorithm based on deep learning
    Sae-Lim, Wannipa
    Wettayaprasit, Wiphada
    Suwannanon, Ruedeekorn
    Cheewatanakornkul, Siripong
    Aiyarak, Pattara
    INTELLIGENT SYSTEMS WITH APPLICATIONS, 2024, 22
  • [2] Automated Pneumothorax Segmentation and Quantification Algorithm Based on Deep Learning
    Sae-Lim, Wannipa
    Wettayaprasit, Wiphada
    Suwannanon, Ruedeekorn
    Cheewatanakornkul, Siripong
    Aiyarak, Pattara
    SSRN, 1600,
  • [3] Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT
    David Dreizin
    Yuyin Zhou
    Yixiao Zhang
    Nikki Tirada
    Alan L. Yuille
    Journal of Digital Imaging, 2020, 33 : 243 - 251
  • [4] Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT
    Dreizin, David
    Zhou, Yuyin
    Zhang, Yixiao
    Tirada, Nikki
    Yuille, Alan L.
    JOURNAL OF DIGITAL IMAGING, 2020, 33 (01) : 243 - 251
  • [5] Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort
    Peter M. Graffy
    Jiamin Liu
    Stacy O’Connor
    Ronald M. Summers
    Perry J. Pickhardt
    Abdominal Radiology, 2019, 44 : 2921 - 2928
  • [6] Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort
    Graffy, Peter M.
    Liu, Jiamin
    O'Connor, Stacy
    Summers, Ronald M.
    Pickhardt, Perry J.
    ABDOMINAL RADIOLOGY, 2019, 44 (08) : 2921 - 2928
  • [7] Automated quantification of lipid contents of Lipomyces starkeyi using deep-learning-based image segmentation
    Oh, Jeong-Joo
    Ko, Young Jin
    Kim, Young Jun
    Kwon, Hyeokhyeon
    Lee, Changmin
    BIORESOURCE TECHNOLOGY, 2024, 393
  • [8] Automated quantification of CNV volume using deep learning AI algorithm
    Vahatupa, Maria
    Ragauskas, Symantas
    Ziniauskaite, Agne
    Knuuttila, Anna
    Sihvo, Hanna-Kaisa
    Jaaskelainen, Mikael
    Kaja, Simon
    Kalesnykas, Giedrius
    Cerrada-Gimenez, Marc
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2020, 61 (07)
  • [9] Automated segmentation algorithm with deep learning framework for early detection of glaucoma
    Natarajan, Deepa
    Sankaralingam, Esakkirajan
    Balraj, Keerthiveena
    Thangaraj, Veerakumar
    Natarajan, Deepa (deepa.n@cit.edu.in), 1600, John Wiley and Sons Ltd (33):
  • [10] Automated segmentation algorithm with deep learning framework for early detection of glaucoma
    Natarajan, Deepa
    Sankaralingam, Esakkirajan
    Balraj, Keerthiveena
    Thangaraj, Veerakumar
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33 (10):
12345