https://t.co/OaWGhp6ATX
We hope this article attracts strong interest from researchers actively working in the field of computational pathology. In this study, we applied VISGAB to systematically evaluate and compare GANs with HSFI to focus on diagnostic accuracy.
https://t.co/g7yKcQiEsq
We hope this article attracts strong interest from relevant researchers, actively working in the field of computational pathology.
We believe the biomedical imaging community finds it interesting, novel, & technical to unlock further potentials.
Dr. Asim Waris #NUST introduced VISGAB, a benchmark for virtual staining in #skin#histology, along with the HSFI metric for diagnostic value. CycleGAN leads with clear structure &strong accuracy, moving #pathology toward faster &safer #AI based staining. @SciReports #NUSTResearch
https://t.co/fFTXBu6G8J
I was great admirer of legendary artist Rubina Qureshi. Last year I met her while in a queue for COVID vaccination at the Arts Concil Karachi, discussed changing dynamics of performing art in digital world.
Rubina was on wheelchair& eloquently spoke in high spirits