Detection of cervical cancer from evoked tissue fluorescence images using 2-and 3-way methods

被引:0
|
作者
Wise, Barry M. [1 ]
Shaver, Jeremy M. [2 ]
机构
[1] Eigenvector Res Inc, 196 Hyacinth Rd, Manson, WA 98831 USA
[2] Just Biotherapeut Inc, 401 Terry Ave North, Seattle, WA 98109 USA
来源
OPTICAL FIBERS AND SENSORS FOR MEDICAL DIAGNOSTICS AND TREATMENT APPLICATIONS XIX | 2019年 / 10872卷
关键词
Cervical cancer; PLS-DA; PARAFAC; data preprocessing;
D O I
10.1117/12.2516584
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In-vivo examinations of cervical tissue were performed using Evoked Tissue Fluorescence (ETF) as part of a clinical trial. These examinations were performed in conjunction with conventional colposcopy, along with of biopsies of suspect cancerous or pre-cancerous tissue. The ETF data consisted of 22 images of the cervix taken at combinations of 3 excitation wavelengths and 9 emission wavelengths. The ultimate goal was to use these images to accurately classify tissue between normal states (normal squamous and normal columnar) and pre-cancerous and cancerous states (squamous metaplasia, and high and low Squamous Intraepithelial Lesion, HSIL and LSIL). Several chemometric methods were applied to the data for the purpose of preprocessing (e. g. image alignment), eliminating patient to patient variability (e. g. GLS and specialized centering), classification of tissues (hierarchical PLS-DA) and elucidating the underlying signatures of the tissues and background components (PARAFAC).
引用
收藏
页数:9
相关论文
共 30 条
  • [1] MS-Electronic Nose Performance Improvement Using GC Retention Times And 2-Way And 3-Way Data Processing Methods
    Burian, Cosmin
    Bremes, Jesus
    Vinaixa, Maria
    Llobet, Eduard
    Vilanova, Xavier
    Canellas, Nicolau
    Correig, Xavier
    OLFACTION AND ELECTRONIC NOSE, PROCEEDINGS, 2009, 1137 : 105 - 108
  • [2] Preliminary results from multi-center clinical trials for detection of cervical squamous intraepithelial lesions using a novel full-field evoked tissue fluorescence based imaging instrument
    Dattamajumdar, AK
    Wells, D
    Parnell, J
    Ganguly, D
    Wright, TC
    DIAGNOSTIC OPTICAL SPECTROSCOPY IN BIOMEDICINE, 2001, 4432 : 312 - 313
  • [3] Preliminary experimental results from multi-center clinical trials for detection of cervical precancerous lesions using the Cerviscan™ system:: a novel full-fleld evoked tissue fluorescence based imaging instrument
    Dattamajumdar, AK
    Wells, D
    Parnell, J
    Lewis, JT
    Ganguly, D
    Wright, TC
    PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE, 2001, 23 : 3150 - 3152
  • [4] Detection of connective tissue disorders from 3D aortic MR images using independent component analysis
    Hansen, Michael Sass
    Zhao, Fei
    Zhang, Honghai
    Walker, Nicholas E.
    Wahle, Andreas
    Scholz, Thomas
    Sonka, Milan
    COMPUTER VISION APPROACHES TO MEDICAL IMAGE ANALYSIS, 2006, 4241 : 13 - 24
  • [5] Cloud Detection from Sentinel-2 Images Using DeepLabV3+ and Swin Transformer Models
    Kang, Jonggu
    Park, Ganghyun
    Kim, Geunah
    Youn, Youjeong
    Choi, Soyeon
    Lee, Yangwon
    KOREAN JOURNAL OF REMOTE SENSING, 2022, 38 (06) : 1743 - 1747
  • [6] Assessment of methods for tissue-based detection of the HER-2/neu alteration in human breast cancer:: A direct comparison of fluorescence in situ hybridization and immunohistochemistry
    Pauletti, G
    Dandekar, S
    Rong, HM
    Ramos, L
    Pong, HJ
    Seshadri, R
    Slamon, DJ
    JOURNAL OF CLINICAL ONCOLOGY, 2000, 18 (21) : 3651 - 3664
  • [7] Reconstruction of 3D-curves from 2D-images using affine shape methods for curves
    Berthilsson, R
    Astrom, K
    1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1997, : 476 - 481
  • [8] The Experience of 99mTc-Al2O3 Using for the Detection of Sentinel Lymph Nodes in Cervical Cancer Patients
    Chernov, V.
    Sinilkin, I.
    Medvedeva, A.
    Zelchan, R.
    Lyapunov, A.
    Bragina, O.
    Chernyshova, A.
    Kolomiets, L.
    Skuridin, V.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2016, 43 : S286 - S286
  • [9] Regulatory network discovery using 3-way integration of high-dimensional mRNA, miRNA and IncRNA expression data from the entire NCI60 cancer cell line panel
    Mestdagh, Pieter
    Hellemans, Jan
    D'haene, Barbara
    Derveaux, Stefaan
    Wong, Kee
    Kotturi, Paul
    Ginzinger, David
    Vandesompele, Jo
    CANCER RESEARCH, 2012, 72
  • [10] 3D Shape Visualization of Curved Needles in Tissue from 2D Ultrasound Images using RANSAC
    Waine, Michael
    Rossa, Carlos
    Sloboda, Ronald
    Usmani, Nawaid
    Tavakoli, Mahdi
    2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2015, : 4723 - 4728