1 |
S. Chakraborty, S. Aich, A. Kumar, S. Sarkar, J.S. Sim, and H.C. Kim, "Detection of Cancerous Tissue in Histopathological Images Using Dual-channel Residual Convolutional Neural Networks (DCRCNN)," Proceeding of International Conference on Advanced Communication Technology, pp. 197-202, 2020.
|
2 |
A.M. Khan, N. Rajpoot, D. Treanor, and D. Magee, "A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-specific Color Deconvolution," IEEE Transactions on Biomedical Engineering, Vol. 61, No. 6, pp. 1729-1738, 2014.
DOI
|
3 |
M. Sinecen and M. Makinaci, "Classification of Prostate Cell Nuclei Using Artificial Neural Network Methods," Proceeding of International Enformatika Conference, pp. 170-172, 2005.
|
4 |
G. Litjens, O. Debats, J. Barentsz, N. Karssemeijer, and H. Huisman, "Computer-aided Detection of Prostate Cancer in MRI," IEEE Transactions on Medical Imaging, Vol. 33, No. 5, pp. 1083-1092, 2014.
DOI
|
5 |
C.H. Kim, J.H. So, H.G. Park, N. Madusanka, P. Deekshitha, and S. Bhattacharjee, "Analysis of Texture Features and Classifications for the Accurate Diagnosis of Prostate Cancer," Journal of Korea Multimedia Society, Vol. 22, No. 8, pp. 832-843, 2019.
DOI
|
6 |
T. Turki, "An Empirical Study of Machine Learning Algorithms for Cancer Identification," Proceeding of International Conference on Networking, Sensing and Control, pp. 1-5, 2018.
|
7 |
S.K. Tai, C.Y. Li, Y.C. Wu, Y.J. Jan, and S.C Lin, "Classification of Prostatic Biopsy," Proceeding of International Conference on Digital Content, Multimedia Technology and Its Applications, pp. 354-358, 2010.
|
8 |
S. Doyle, A. Madabhushi, M. Feldman, and J. Tomaszeweski, "A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology," Proceeding of International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 504-511, 2006.
|
9 |
F. Ciompi, O. Geessink, B.E. Bejnordi, G.S. Souza, A. Baidoshvili, and G. Litjens, "The Importance of Stain Normalization in Colorectal Tissue Classification with Convolutional Networks," Proceeding of International Symposium on Biomedical Imaging, pp. 160-163, 2017.
|
10 |
E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley, "Color Transfer between Images," IEEE Computer Graphics and Applications, Vol. 21, No. 5, pp. 34-41, 2001.
DOI
|
11 |
M.S. Chung, M. Shim, J.S. Cho, W. Bang, S.I. Kim, S.Y. Cho, et al., "Pathological Characteristics of Prostate Cancer in Men Aged< 50 Years Treated with Radical Prostatectomy: A Multi-centre Study in Korea," Journal of Korean Medical Science, Vol. 34, No. 10, pp. 1-10, 2019.
|
12 |
D. Albashish, S. Sahran, A. Abdullah, A. Adam, and M. Alweshah, "A Hierarchical Classifier for Multiclass Prostate Histopathology Image Gleason Grading," Journal of Information and Communication Technology, Vol. 17, No. 2, pp. 323-346, 2018.
|
13 |
S. Yoo, I. Gujrathi, M.A. Haider, and F. Khalvati, "Prostate Cancer Detection Using Deep Convolutional Neural Networks," Scientific Report Vol. 9, No. 1, pp. 1-10, 2019.
DOI
|
14 |
M. Lucas, I. Jansen, C.D. Savci-Heijink, S.L. Meijer, O.J. Boer, and T.G. Leeuwen, "Deep Learning for Automatic Gleason Pattern Classification for Grade Group Determination of Prostate Biopsies," Virchows Archiv, Vol. 475, No. 1, pp. 77-83, 2019.
DOI
|
15 |
R.C. Martin and J.R. Pomerantz, "Visual Discrimination of Texture," Perception and Psychophysics, Vol. 24, No. 5, pp. 420-428, 1978.
DOI
|
16 |
S. Bhattacharjee, H.G. Park, C.H. Kim, D. Prakash, N. Madusanka, and J.H. So, "Quantitative Analysis of Benign and Malignant Tumor in Histopathology: Predicting Prostate Cancer Grading Using SVM," Applied Sciences, Vol. 9, No. 15, pp. 1-18, 2019.
|
17 |
F. Xing, Y.H. Su, F. Liu, and L. Yang, "Deep Learning in Microscopy Image Analysis: A Survey," IEEE Transaction on Neural Networks and Learning Systems, Vol. 29, No. 3, pp. 4550-4568, 2017.
|
18 |
C. Angermueller, T. Parnamaa, L. Parts, and O. Stegle, "Deep Learning for Computational Biology," Molecular System Biology, Vol. 12, No. 7, pp. 1-17, 2016.
|
19 |
A. Qayyum, S.M. Anwar, M. Awais, and M. Majid, "Medical Image Retrieval Using Deep Convolution Neural Network," Neurocomputing, Vol. 266, No. C, pp. 8-20, 2017.
DOI
|
20 |
T.T. Tang, J.A. Zawaski, K.N. Francis, A.A. Qutub, and M.W. Gaber, "Image-based Classification of Tumor Type and Growth Rate Using Machine Learning: A Preclinical Study," Scientific Report, Vol. 9, No. 1, pp. 1-10, 2019.
DOI
|