Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma

被引：0
|
作者：
Min Feng
Yang Deng
Libo Yang
Qiuyang Jing
Zhang Zhang
Lian Xu
Xiaoxia Wei
Yanyan Zhou
Diwei Wu
Fei Xiang
Yizhe Wang
Ji Bao
Hong Bu
机构：
[1] West China Hospital,Laboratory of Pathology
[2] Sichuan University,Department of Pathology
[3] West China Second University Hospital,Department of Pathology
[4] Sichuan University & key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University),Department of Pathology
[5] Ministry of Education,undefined
[6] West China Hospital,undefined
[7] Sichuan University,undefined
[8] Chengfei Hospital,undefined
[9] Chengdu Knowledge Vision Science and Technology Co.,undefined
[10] Ltd,undefined
来源：
Diagnostic Pathology | / 15卷
关键词：
Convolutional neural network; Whole tissue sections; Breast invasive ductal carcinoma; Automatic recognition; Ki-67 counting;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Automated and Visual Assessment of Ki-67 IHC in Breast Carcinoma: Comparison of 3 Antibody Clones
    Minca, E. C.
    Elizabeth, S. A.
    Koji, T.
    Heather, F.
    Raymond, T. R.
    MODERN PATHOLOGY, 2013, 26 : 57A - 57A
  • [22] Ki67 expression in invasive breast cancer: the use of tissue microarrays compared with whole tissue sections
    Abir A. Muftah
    Mohammed A. Aleskandarany
    Methaq M. Al-kaabi
    Sultan N. Sonbul
    Maria Diez-Rodriguez
    Chris C. Nolan
    Carlos Caldas
    Ian O. Ellis
    Emad A. Rakha
    Andrew R. Green
    Breast Cancer Research and Treatment, 2017, 164 : 341 - 348
  • [23] Ki67 expression in invasive breast cancer: the use of tissue microarrays compared with whole tissue sections
    Muftah, Abir A.
    Aleskandarany, Mohammed A.
    Al-kaabi, Methaq M.
    Sonbul, Sultan N.
    Diez-Rodriguez, Maria
    Nolan, Chris C.
    Caldas, Carlos
    Ellis, Ian O.
    Rakha, Emad A.
    Green, Andrew R.
    BREAST CANCER RESEARCH AND TREATMENT, 2017, 164 (02) : 341 - 348
  • [24] QUANTITATION OF ESTROGEN-RECEPTOR CONTENT AND KI-67 STAINING IN BREAST-CARCINOMA BY THE MICROTICAS IMAGE-ANALYSIS SYSTEM
    FRANKLIN, WA
    BIBBO, M
    DORIA, MI
    DYTCH, HE
    TOTH, J
    DESOMBRE, E
    WIED, GL
    ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY, 1987, 9 (04): : 279 - 286
  • [25] Do snapshot and whole slide image analysis display with differences of Ki-67 stained invasive breast carcinoma specimens?
    Ayad, E.
    VIRCHOWS ARCHIV, 2017, 471 : S206 - S207
  • [26] Immunohistochemical Ki-67/KL1 Double Stains Increase Accuracy of Ki-67 Indices in Breast Cancer and Simplify Automated Image Analysis
    Nielsen, Patricia S.
    Bentzer, Nina K.
    Jensen, Vibeke
    Steiniche, Torben
    Jylling, Anne M. B.
    APPLIED IMMUNOHISTOCHEMISTRY & MOLECULAR MORPHOLOGY, 2014, 22 (08) : 568 - 576
  • [27] EVALUATION OF AUTOMATED HISTOLOGY PATTERN RECOGNITION TOOL FOR SELECTION AND ANALYSIS OF TUMOR REGIONS IN BREAST TISSUE SECTIONS STAINED WITH ER, PR AND KI67
    Wetherell, K. Lillard
    Tunstall, J.
    ANNALS OF ONCOLOGY, 2009, 20 : 52 - 53
  • [28] An Advanced Automated Image Analysis Model for Scoring of ER, PR, HER-2 and Ki-67 in Breast Carcinoma
    Feng, Min
    Chen, Jie
    Xiang, Xuhui
    Deng, Yang
    Zhou, Yanyan
    Zhang, Zhang
    Zheng, Zhongxi
    Bao, Ji
    Bu, Hong
    IEEE ACCESS, 2021, 9 : 108441 - 108451
  • [29] Automated vision quantitative assessment of Ki-67 proliferation index in a nationwide series of patients with breast cancer
    Konsti, J.
    Lundin, M.
    Joensuu, H.
    Lundin, J.
    VIRCHOWS ARCHIV, 2010, 457 (02) : 147 - 147
  • [30] OPTIMIZATION OF IMMUNOHISTOCHEMICAL STAINING OF PROLIFERATING CELLS IN PARAFFIN SECTIONS OF BREAST-CARCINOMA USING ANTIBODIES TO PROLIFERATING CELL NUCLEAR ANTIGEN AND THE KI-67 ANTIGEN
    YU, CCW
    DUBLIN, EA
    CAMPLEJOHN, RS
    LEVISON, DA
    ANALYTICAL CELLULAR PATHOLOGY, 1995, 9 (01) : 45 - 52
12345