Design of a hybrid deep learning system for discriminating between low- and high-grade colorectal cancer lesions, using microscopy images of IHC stained for AIB1 expression biopsy material
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Ioannis Kalatzis | Spiros Kostopoulos | Dimitris Glotsos | Pantelis A. Asvestas | Panagiota Ravazoula | Dionisis A. Cavouras | Angeliki D. Theodosi | George Sakellaropoulos | Angeliki Theodosi | Sotiris Ouzounis | Vassiliki Tzelepi | D. Cavouras | P. Asvestas | I. Kalatzis | P. Ravazoula | S. Kostopoulos | V. Tzelepi | G. Sakellaropoulos | D. Glotsos | Sotiris Ouzounis
[1] L. Fielding,et al. Large bowel cancer: Surgical pathology and its relationship to survival , 1984, The British journal of surgery.
[2] Mary M. Galloway,et al. Texture analysis using gray level run lengths , 1974 .
[3] Hideyuki Tamura,et al. Textural Features Corresponding to Visual Perception , 1978, IEEE Transactions on Systems, Man, and Cybernetics.
[4] Ahmed Bouridane,et al. Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery , 2016, PloS one.
[5] Levente Ficsor,et al. Automated classification of inflammation in colon histological sections based on digital microscopy and advanced image analysis , 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[6] P W Hamilton,et al. A combination of cytological and architectural morphometry in assessing regenerative hyperplasia and dysplasia in ulcerative colitis , 1990, Histopathology.
[7] S. Stewart-Brown,et al. Histopathology reporting in large bowel cancer. , 1981, Journal of clinical pathology.
[8] R. Kumar,et al. Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features , 2015, Journal of medical engineering.
[9] Deborah B. Thompson,et al. AUTOMATED LOCATION OF DYSPLASTIC FIELDS IN COLORECTAL HISTOLOGY USING IMAGE TEXTURE ANALYSIS , 1997, The Journal of pathology.
[10] M F Dixon,et al. Observer variation in the histological grading of rectal carcinoma. , 1983, Journal of clinical pathology.
[11] Yusuke Nakamura,et al. Amplification and over‐expression of the AIB1 nuclear receptor co‐activator gene in primary gastric cancers , 2000, International journal of cancer.
[12] Zhipeng Jia,et al. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features , 2017, BMC Bioinformatics.
[13] B Terracini,et al. Malignant mesothelioma of the pleura: interobserver variability. , 1995, Journal of clinical pathology.
[14] Dervis Karaboga,et al. A comprehensive review of deep learning in colon cancer , 2020, Comput. Biol. Medicine.
[15] Donald F. Specht,et al. Probabilistic neural networks , 1990, Neural Networks.
[16] Geoffrey J McLachlan,et al. Selection bias in gene extraction on the basis of microarray gene-expression data , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[17] P. Hou,et al. AIB1 Genomic Amplification Predicts Poor Clinical Outcomes in Female Glioma Patients , 2016, Journal of Cancer.
[18] Z. Kefalopoulou,et al. Estrogen signaling in colorectal carcinoma microenvironment: expression of ERβ1, AIB-1, and TIF-2 is upregulated in cancer-associated myofibroblasts and correlates with disease progression , 2009, Virchows Archiv.
[19] Francesco Bianconi,et al. Multi-class texture analysis in colorectal cancer histology , 2016, Scientific Reports.
[20] P. Meltzer,et al. AIB1, a steroid receptor coactivator amplified in breast and ovarian cancer. , 1997, Science.
[21] Donald H. Foley. Considerations of sample and feature size , 1972, IEEE Trans. Inf. Theory.
[22] Nasir M. Rajpoot,et al. Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images , 2019, IEEE Transactions on Medical Imaging.
[23] Camel Tanougast,et al. Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer , 2017, Analytical cellular pathology.
[24] Fouad Khelifi,et al. Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization , 2018, Neurocomputing.
[25] X. Guan,et al. Prognostic significance of c‐myc and AIB1 amplification in hepatocellular carcinoma , 2002, Cancer.
[26] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[27] P. Hamilton,et al. Architectural morphometry in ulcerative colitis with dysplasia , 1988, Histopathology.
[28] P. Macaskill,et al. MULTIVARIATE ANALYSIS OF PROGNOSTIC FACTORS FOR OPERABLE RECTAL CANCER , 1984, The Lancet.
[29] Melissa Wright,et al. Interobserver agreement in the reporting of colorectal polyp pathology among bowel cancer screening pathologists in Wales , 2013, Histopathology.
[30] David B. A. Epstein,et al. Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images , 2017, Scientific Reports.
[31] P. Meltzer,et al. Specific chromosomal aberrations and amplification of the AIB1 nuclear receptor coactivator gene in pancreatic carcinomas. , 1999, The American journal of pathology.
[32] Mengzhong Liu,et al. Overexpression of AIB1 in nasopharyngeal carcinomas correlates closely with advanced tumor stage. , 2008, American journal of clinical pathology.
[33] Ioannis Kalatzis,et al. Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit , 2012, Comput. Biol. Medicine.
[34] Bayan S. Sharif,et al. Fractal analysis in the detection of colonic cancer images , 2002, IEEE Transactions on Information Technology in Biomedicine.
[35] C. Compton,et al. AJCC Cancer Staging Manual , 2002, Springer New York.
[36] Abdul Jalil,et al. Ensemble classification of colon biopsy images based on information rich hybrid features , 2014, Comput. Biol. Medicine.
[37] Asifullah Khan,et al. Automated colon cancer detection using hybrid of novel geometric features and some traditional features , 2015, Comput. Biol. Medicine.
[38] P. Hamilton,et al. Morphometrical analysis in ulcerative colitis with dysplasia and carcinoma , 1987, Histopathology.
[39] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[40] Y. Zeng,et al. Correlation of AIB1 overexpression with advanced clinical stage of human colorectal carcinoma. , 2005, Human pathology.
[41] Julian F. Y. Cheung,et al. Directional line detectors in correlated noisy environments , 2000, IEEE Trans. Image Process..
[42] Ahmad Ali,et al. A Recent Survey on Colon Cancer Detection Techniques , 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[43] P. Hamilton,et al. Classification of normal colorectal mucosa and adenocarcinoma by morphometry , 1987, Histopathology.