Using Radiomic Study Design Recommendations to Optimize Classification Performance in Brain Metastases

被引：0
|
作者：
Mitchell, D. [1 ]
Buszek, S. [1 ]
Tran, B. [1 ]
Liu, H. [1 ]
Chung, C. [1 ]
机构：
[1] UT MD Anderson Canc Ctr, Houston, TX USA
来源：
MEDICAL PHYSICS | 2022年 / 49卷 / 06期
关键词：
D O I：
暂无
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：
SU-E-207-0
引用
收藏
页码：E122 / E122
页数：1
相关论文
共 50 条
  • [31] Pilot Study for the Assessment of the Best Radiomic Features for Bosniak Cyst Classification Using Phantom and Radiologist Inter-Observer Selection
    Aymerich, Maria
    Riveira-Martin, Mercedes
    Garcia-Baizan, Alejandra
    Gonzalez-Pena, Marina
    Sebastia, Carmen
    Lopez-Medina, Antonio
    Mesa-alvarez, Alicia
    Tardagila de la Fuente, Gonzalo
    Mendez-Castrillon, Marta
    Berbel-Rodriguez, Andrea
    Matos-Ugas, Alejandra C.
    Berenguer, Roberto
    Sabater, Sebastia
    Otero-Garcia, Milagros
    DIAGNOSTICS, 2023, 13 (08)
  • [32] Design of Automated Computer-Aided Classification of Brain Tumor Using Deep Learning
    Ali, Nur Alisa
    Syafeeza, A. R.
    Geok, Liow Jia
    Wong, Y. C.
    Hamid, Norihan Abdul
    Jaafar, A. S.
    INTELLIGENT AND INTERACTIVE COMPUTING, 2019, 67 : 285 - 291
  • [33] A cross-sectional study of explainable machine learning in Alzheimer's disease: diagnostic classification using MR radiomic features
    Leandrou, Stephanos
    Lamnisos, Demetris
    Bougias, Haralabos
    Stogiannos, Nikolaos
    Georgiadou, Eleni
    Achilleos, K. G. S.
    Pattichis, Constantinos S.
    Alzheimers Dis Neuroimaging Initiat
    FRONTIERS IN AGING NEUROSCIENCE, 2023, 15
  • [34] Recommendations for performance-based fire design of composite steel buildings using computational analysis
    Gernay, Thomas
    Khorasani, Negar Elhami
    JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 2020, 166
  • [35] Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging
    Reyes, Daniel
    Sanchez, Javier
    HELIYON, 2024, 10 (03)
  • [36] Supporting The Knowledge Translation Of Exercise Recommendations For People With Bone Metastases Using An Experience-based Co-design Approach
    Bland, Kelcey A.
    Neil-Sztramko, Sarah E.
    Nadler, Michelle B.
    Langelier, David M.
    Lane, Kirstin N.
    Capozzi, Lauren
    Alibhai, Shabbir
    Chalmers, Alana
    Dinardo, Rhoda
    Prestley, Nicole
    Weller, Sarah
    Papadakos, Janet
    McDonald, Karen
    Copp, Jane
    McNeely, Margaret
    Lambert, Leah
    Bates, Alan
    Simmons, Christine
    Campbell, Kristin L.
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2024, 56 (10) : 1067 - 1067
  • [37] Using patient data to optimize an expert-based guideline on convalescence recommendations after gynecological surgery: a prospective cohort study
    Bouwsma, Esther V. A.
    Anema, Johannes R.
    Noordegraaf, A. Vonk
    de Vet, Henrica C. W.
    Huirne, Judith A. F.
    BMC SURGERY, 2017, 17 : 129
  • [38] Using patient data to optimize an expert-based guideline on convalescence recommendations after gynecological surgery: a prospective cohort study
    Esther V. A. Bouwsma
    Johannes R. Anema
    A. Vonk Noordegraaf
    Henrica C. W. de Vet
    Judith A. F. Huirne
    BMC Surgery, 17
  • [39] Using microtasks to crowdsource DBpedia entity classification: A study in workflow design
    Bu, Qiong
    Simperl, Elena
    Zen, Sergej
    Li, Yunjia
    SEMANTIC WEB, 2018, 9 (03) : 337 - 354
  • [40] An Explainable MRI-Radiomic Quantum Neural Network to Differentiate Between Large Brain Metastases and High-Grade Glioma Using Quantum Annealing for Feature Selection
    Felefly, Tony
    Roukoz, Camille
    Fares, Georges
    Achkar, Samir
    Yazbeck, Sandrine
    Meyer, Philippe
    Kordahi, Manal
    Azoury, Fares
    Nasr, Dolly Nehme
    Nasr, Elie
    Noel, Georges
    Francis, Ziad
    JOURNAL OF DIGITAL IMAGING, 2023, 36 (06) : 2335 - 2346
12345