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
来源：
NEURO-ONCOLOGY | 2024年 / 26卷
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
  • [41] An Independent Evaluation of Six Commercially Available Deep Learning-Based Auto Segmentation Platforms Using Large Multi- Institutional Datasets
    Yuan, L.
    Chen, Q.
    Rong, Y.
    Al-Hallaq, H.
    Benedict, S.
    Cai, B.
    Wu, Q.
    Latifi, K.
    Xiao, Y.
    Yang, X.
    Qi, X.
    MEDICAL PHYSICS, 2022, 49 (06) : E403 - E403
  • [42] Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments
    Thakur, Siddhesh P.
    Pati, Sarthak
    Panchumarthy, Ravi
    Karkada, Deepthi
    Wu, Junwen
    Kurtaev, Dmitry
    Sako, Chiharu
    Shah, Prashant
    Bakas, Spyridon
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT I, 2022, 12962 : 151 - 167
  • [43] A Deep Learning Approach to Glioblastoma Radiogenomic Classification Using Brain MRI
    Emchinov, Aleksandr
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT II, 2022, 12963 : 345 - 356
  • [44] A deep learning approach for brain tumor classification using MRI images*
    Aamir, Muhammad
    Rahman, Ziaur
    Dayo, Zaheer Ahmed
    Abro, Waheed Ahmed
    Uddin, M. Irfan
    Khan, Inayat
    Imran, Ali Shariq
    Ali, Zafar
    Ishfaq, Muhammad
    Guan, Yurong
    Hu, Zhihua
    COMPUTERS & ELECTRICAL ENGINEERING, 2022, 101
  • [45] A Deep Learning-Based Approach for Extraction of Positioning Feature Points in Lifting Holes
    Qian, Jiahui
    Xia, Wenjun
    Zhao, Zhangyan
    Qiu, Faju
    APPLIED SCIENCES-BASEL, 2023, 13 (17):
  • [46] Identification and detection of brain tumour using deep learning-based classification MRI applied using neural network and machine learning algorithm
    Mishra B.
    Gopal K.M.
    Patnaik S.
    Paikaray B.K.
    International Journal of Reasoning-based Intelligent Systems, 2023, 15 (3-4): : 228 - 234
  • [47] Deep Transfer Learning-Based Multi-Modal Digital Twins for Enhancement and Diagnostic Analysis of Brain MRI Image
    Wang, Jinxia
    Qiao, Liang
    Lv, Haibin
    Lv, Zhihan
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 20 (04) : 2407 - 2419
  • [48] Prostate cancer diagnosis based on multi-parametric MRI, clinical and pathological factors using deep learning
    Sherafatmandjoo, Haniye
    Safaei, Ali A.
    Ghaderi, Foad
    Allameh, Farzad
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [49] A deep learning approach for identifying focal prostate cancer from multi-parametric MRI
    RooneY, M.
    Killean, A.
    Mitchell, J.
    McLaren, D. B.
    Nailon, W. H.
    RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S1052 - S1053
  • [50] Submillimeter MR fingerprinting using deep learning-based tissue quantification
    Fang, Zhenghan
    Chen, Yong
    Hung, Sheng-Che
    Zhang, Xiaoxia
    Lin, Weili
    Shen, Dinggang
    MAGNETIC RESONANCE IN MEDICINE, 2020, 84 (02) : 579 - 591
12345