Cervical image classification based on image segmentation preprocessing and a CapsNet network model
暂无分享,去创建一个
[1] Peter Auer,et al. A learning rule for very simple universal approximators consisting of a single layer of perceptrons , 2008, Neural Networks.
[2] M I Shafi,et al. Digital imaging colposcopy, image analysis and quantification of the colposcopic image , 1994, British journal of obstetrics and gynaecology.
[3] D J Zahniser,et al. Homogeneous sampling accounts for the increased diagnostic accuracy using the ThinPrep Processor. , 1994, American journal of clinical pathology.
[4] Sun Young Park,et al. Domain-Specific Image Analysis for Cervical Neoplasia Detection Based on Conditional Random Fields , 2011, IEEE Transactions on Medical Imaging.
[5] P. Cristoforoni,et al. Computerized Colposcopy: Results of a Pilot Study and Analysis of Its Clinical Relevance , 1995, Obstetrics and gynecology.
[6] SchmidhuberJürgen. Deep learning in neural networks , 2015 .
[7] Shiri Gordon,et al. SEGMENTATION OF NON-CONVEX REGIONS WITHIN UTERINE CERVIX IMAGES , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[8] Hayit Greenspan,et al. Lesion detection and segmentation in uterine cervix images using an ARC-LEVEL MRF , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[9] Eros Comunello,et al. Classification of Images Acquired with Colposcopy Using Artificial Neural Networks , 2014, Cancer Informatics.
[10] Yuichiro Miyamoto,et al. Application of deep learning to the classification of images from colposcopy , 2018, Oncology letters.
[11] M Arbyn,et al. Worldwide burden of cervical cancer in 2008. , 2011, Annals of oncology : official journal of the European Society for Medical Oncology.
[12] Diane Solomon,et al. Clinical practice. Cervical-cancer screening with human papillomavirus and cytologic cotesting. , 2013, The New England journal of medicine.
[13] D G Ferris,et al. Identification of Cervical Neoplasia Using a Simulation of Human Vision , 2001, Journal of lower genital tract disease.
[14] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[15] Geoffrey E. Hinton,et al. Dynamic Routing Between Capsules , 2017, NIPS.
[16] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[17] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[18] Shiri Gordon,et al. Image segmentation of uterine cervix images for indexing in PACS , 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.
[19] Diane Solomon,et al. Cervical cancer prevention--cervical screening: science in evolution. , 2007, Obstetrics and gynecology clinics of North America.