A DEEP LEARNING-BASED APPROACH FOR BRAIN TISSUE EXTRACTION USING MULTI- AND SINGLE-PARAMETRIC MRI IN PEDIATRICS

被引:0
|
作者
Gandhi, Deep B. [1 ]
Gottipati, Anurag [1 ]
Tu, Wenxin [1 ]
Familiar, Ariana [1 ]
Haldar, Shuvanjan [1 ]
Khalili, Neda [1 ]
Jain, Paarth [1 ]
Viswanathan, Karthik [1 ]
Storm, Phillip B. [1 ,2 ]
Resnick, Adam C. [1 ,3 ]
Ware, Jeffrey B. [4 ]
Vossough, Arastoo [1 ,5 ]
Nabavizadeh, Ali [1 ,4 ]
Kazerooni, Anahita Fathi [1 ,6 ]
机构
[1] Childrens Hosp Philadelphia, Ctr Data Driven Discovery Biomed D3b, Philadelphia, PA USA
[2] Univ Penn, Perelman Sch Med, Dept Neurosurg, Philadelphia, PA USA
[3] Childrens Hosp Philadelphia, Dept Neurosurg, Philadelphia, PA USA
[4] Univ Penn, Perelman Sch Med, Dept Radiol, Philadelphia, PA USA
[5] Childrens Hosp Philadelphia, Div Radiol, Philadelphia, PA USA
[6] Univ Penn, AI2D Ctr AI & Data Sci Integrated Diagnost, Philadelphia, PA USA
关键词
D O I
10.1093/neuonc/noae064.346
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
IMG-09
引用
收藏
页数:2
相关论文
共 50 条
  • [11] A survey of MRI-based brain tissue segmentation using deep learning
    Wu, Liang
    Wang, Shirui
    Liu, Jun
    Hou, Lixia
    Li, Na
    Su, Fei
    Yang, Xi
    Lu, Weizhao
    Qiu, Jianfeng
    Zhang, Ming
    Song, Li
    COMPLEX & INTELLIGENT SYSTEMS, 2025, 11 (01)
  • [12] Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue
    Khorrami, Pooya
    Brady, Kevin
    Hernandez, Mark
    Gjesteby, Lars
    Burke, Sara N.
    Lamb, Damon G.
    Melton, Matthew A.
    Otto, Kevin J.
    Brattain, Laura J.
    2019 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC), 2019,
  • [13] Classification and pattern extraction of incidents: a deep learning-based approach
    Sobhan Sarkar
    Sammangi Vinay
    Chawki Djeddi
    J. Maiti
    Neural Computing and Applications, 2022, 34 : 14253 - 14274
  • [14] Classification and pattern extraction of incidents: a deep learning-based approach
    Sarkar, Sobhan
    Vinay, Sammangi
    Djeddi, Chawki
    Maiti, J.
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (17): : 14253 - 14274
  • [15] Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
    Du, Yuning
    Xue, Yuyang
    Dharmakumar, Rohan
    Tsaftaris, Sotirios A.
    CLINICAL IMAGE-BASED PROCEDURES, FAIRNESS OF AI IN MEDICAL IMAGING, AND ETHICAL AND PHILOSOPHICAL ISSUES IN MEDICAL IMAGING, CLIP 2023, FAIMI 2023, EPIMI 2023, 2023, 14242 : 102 - 111
  • [16] A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
    Zahoor, Mirza Mumtaz
    Qureshi, Shahzad Ahmad
    Bibi, Sameena
    Khan, Saddam Hussain
    Khan, Asifullah
    Ghafoor, Usman
    Bhutta, Muhammad Raheel
    SENSORS, 2022, 22 (07)
  • [17] A Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems
    Bermudez, Luis
    Dabby, Nadine
    Lin, Yingxi Adelle
    Hilmarsdottir, Sara
    Sundararajan, Narayan
    Kar, Swarnendu
    2021 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2021), 2021, : 776 - 785
  • [18] A Hybrid Deep Learning-Based Approach for Brain Tumor Classification
    Raza, Asaf
    Ayub, Huma
    Khan, Javed Ali
    Ahmad, Ijaz
    Salama, Ahmed S.
    Daradkeh, Yousef Ibrahim
    Javeed, Danish
    Rehman, Ateeq Ur
    Hamam, Habib
    ELECTRONICS, 2022, 11 (07)
  • [19] Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction
    Qasmi, Noshaba
    Bibi, Rimsha
    Rashid, Sajid
    PLOS ONE, 2024, 19 (12):
  • [20] Machine Learning-based Indoor Positioning Systems Using Multi- Channel Information
    Lee, Shu-Hung
    Cheng, Chia-Hsin
    Huang, Tzu-Huan
    Huang, Yung-Fa
    JOURNAL OF ENGINEERING AND TECHNOLOGICAL SCIENCES, 2023, 55 (03): : 373 - 383