Accepted Papers


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