| Paper ID |
Title |
| 1 |
Red Blood Cell Image Generation for Data Augmentation using Conditional Generative Adversarial Networks |
| 4 |
Automated Focus Distance Estimation for Digital Microscopy using Deep Convolutional Neural Networks |
| 5 |
Online Neural Cell Tracking using Blob-Seed Segmentation and Optical Flow |
| 7 |
Cell Image Segmentation by Integrating Pix2pixs for Each Class |
| 10 |
Automatic Classification of Whole Slide Pap Smear Images using CNN with PCA based Feature Interpretation |
| 11 |
Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images |
| 14 |
Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps |
| 15 |
Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation |
| 17 |
Multiscale Kernels for Enhanced U-shaped Network to Improve 3D Neuron Tracing |
| 18 |
Cell Image Segmentation using Generative Adversarial Networks, Transfer Learning, and Augmentations |
| 23 |
Partially-Independent Framework for Breast Cancer Histopathological Image Classification |
| 24 |
Identification of Tuberculosis Bacilli in ZN-Stained Sputum Smear Images: A Deep Learning Approach |
