Cell Segmentation with Deep Learning
Abstract
Segmentation model trained on 100K+ microscopy images that identifies subcellular structures with an F1-score of 0.96, outperforming traditional methods.
Classification
Scientific Community
3 voicesProf. Liu Wei
🇨🇳 China
F1-score of 0.96 on subcellular structures is impressive. What dataset did you use for training? We are trying to replicate similar results on mitochondrial segmentation in our lab at Peking University.
Dr. Fatima Al-Rashid
🇸🇦 Arabia Saudita
This work has huge implications for high-throughput drug screening. We process thousands of microscopy images weekly at KAUST and automation at this accuracy level would be transformative.
MSc. Pedro Alves
🇧🇷 Brasil
Excelente trabalho! Estou desenvolvendo minha tese de doutorado em segmentação celular e este artigo será uma referência fundamental. Vocês planejam disponibilizar os pesos do modelo?
