Editorial for "3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation"

被引：0
|
作者：
Nogueira, Luisa [1 ,2 ,3 ]
Adubeiro, Nuno [1 ,2 ,3 ]
Nunes, Rita G. [4 ,5 ]
机构：
[1] Polytech Inst Porto ESS IPP, Sch Hlth Porto, Dept Radiol, Porto, Portugal
[2] Univ Porto, Inst Publ Hlth, EPIUnit, Porto, Portugal
[3] Lab Integrat & Translat Res Populat Hlth ITR, Dept Publ Hlth, Porto, Portugal
[4] Univ Lisbon, Dept Bioengn, Inst Super Tecn, Lisbon, Portugal
[5] Inst Syst & Robot, Lisbon, Portugal
来源：
JOURNAL OF MAGNETIC RESONANCE IMAGING | 2024年 / 59卷 / 06期
关键词：
D O I：
10.1002/jmri.28957
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
引用
收藏
页码：2263 / 2264
页数：2
相关论文
共 50 条
  • [1] 3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation
    Park, Ga Eun
    Kim, Sung Hun
    Nam, Yoonho
    Kang, Junghwa
    Park, Minjeong
    Kang, Bong Joo
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 59 (06) : 2252 - 2262
  • [2] Automated Breast Tumor Segmentation in DCE-MRI Using Deep Learning
    Benjelloun, Mohammed
    El Adoui, Mohammed
    Larhmam, Mohamed Amine
    Mahmoudi, Sidi Ahmed
    2018 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGIES AND APPLICATIONS (CLOUDTECH), 2018,
  • [3] Tumor Segmentation in Breast DCE-MRI Slice Using Deep Learning Methods
    Carvalho, Edson Damasceno
    Veloso Silva, Romuere Rodrigues
    Mathew, Mano Joseph
    Duarte Araujo, Flavio Henrique
    de Carvalho Filho, Antonio Oseas
    26TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2021), 2021,
  • [4] Deep-learning method for tumor segmentation in breast DCE-MRI
    Zhang, Lei
    Luo, Zhimeng
    Chai, Ruimei
    Arefan, Dooman
    Sumkin, Jules
    Wu, Shandong
    MEDICAL IMAGING 2019: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, 2019, 10954
  • [5] 3D Gabor Filters for Chest Segmentation in DCE-MRI
    Illan, I. A.
    Perez Matos, J.
    Ramirez, J.
    Gorriz, J. M.
    Foo, S.
    Meyer-Baese, A.
    HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2018), 2018, 10870 : 446 - 454
  • [6] Predict Breast Tumor Response to Chemotherapy Using a 3D Deep Learning Architecture Applied to DCE-MRI Data
    El Adoui, Mohammed
    Drisis, Stylianos
    Benjelloun, Mohammed
    BIOINFORMATICS AND BIOMEDICAL ENGINEERING (IWBBIO 2019), PT II, 2019, 11466 : 33 - 40
  • [7] 3D segmentation of masses in DCE-MRI images using FCM and adaptive MRF
    Zhang, Chengjie
    Li, Lihua
    MEDICAL IMAGING 2014: IMAGE PROCESSING, 2014, 9034
  • [8] Fully automated tumor localization and segmentation in breast DCE-MRI using deep learning and kinetic prior
    Zhang, Lei
    Arefan, Dooman
    Guo, Yuan
    Wu, Shandong
    MEDICAL IMAGING 2020: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, 2020, 11318
  • [9] Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation
    Zhao, Zhuo
    Yang, Lin
    Zheng, Hao
    Guldner, Ian H.
    Zhang, Siyuan
    Chen, Danny Z.
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV, 2018, 11073 : 352 - 360
  • [10] Automatic breast lesion detection in ultrafast DCE-MRI using deep learning
    Ayatollahi, Fazael
    Shokouhi, Shahriar B.
    Mann, Ritse M.
    Teuwen, Jonas
    MEDICAL PHYSICS, 2021, 48 (10) : 5897 - 5907
12345