1. 1. Agarwalla, A., Shaban, M., and Rajpoot, N. M. (2017). Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images, 1-10.
2. 2. Al-Milaji, Z., Ersoy, I., Hafiane, A., Palaniappan, K., and Bunyak, F. (2017). Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images. Pattern Recognition Letters, 0, 1-8.
3. 3. Alom, M. Z., Yakopcic, C., Taha, T. M., and Asari, V. K. (2018). Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches.
4. Malignant mesothelioma of the pleura: Interobserver variability;Andrion;Journal of Clinical Pathology,1995
5. 5. Basavanhally, A., and Madabhushi, A. (2013). EM-based segmentation-driven color standardization of digitized histopathology. Medical Imaging 2013: Digital Pathology, 8676(Figure 1), 86760G.