3 citations · 3 across the 3 of their papers we have counts for
3 papers
Reconstructed holograms and explanation-aware evaluation for low-cost computational pollen analysis in veterinary cytology
Swarn Warshaneyan, Joial Danyal, Blaž Cugmas +4
Automated pollen analysis supports veterinary cytology, but brightfield microscopy is costlier and more complex than lens-less digital in-line holographic microscopy. We evaluate w…
AI-Augmented Pollen Recognition in Optical and Holographic Microscopy for Veterinary Imaging
Swarn S. Warshaneyan, Maksims Ivanovs, Blaž Cugmas +4
We present a comprehensive study on fully automated pollen recognition across both conventional optical and digital in-line holographic microscopy (DIHM) images of sample slides. V…
Automated Pollen Recognition in Optical and Holographic Microscopy Images
Swarn Singh Warshaneyan, Maksims Ivanovs, Blaž Cugmas +4
This study explores the application of deep learning to improve and automate pollen grain detection and classification in both optical and holographic microscopy images, with a par…