most citedMultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022★ 2 cited

MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss

Haseeb Nazki, Ognjen Arandjelović, InHwa Um +1

Histopathology relies on the analysis of microscopic tissue images to diagnose disease. A crucial part of tissue preparation is staining whereby a dye is used to make the salient t…

cs.CV2019★ 1 cited

Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition

Haseeb Nazki, Sook Yoon, Alvaro Fuentes +1

Acquisition of data in task-specific applications of machine learning like plant disease recognition is a costly endeavor owing to the requirements of professional human diligence…