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A Deep Learning Model for Automated Segmentation of Fluorescence Cell images
(IOP Publishing Ltd, 2021)
Deep learning techniques bring together key advantages in biomedical image
segmentation. They speed up the process, increase the reproducibility, and reduce the workload
in segmentation and classification. Deep learning ...
Enhancing Resolution and Contrast in Fibre Bundle-Based Fluorescence Microscopy Using Generative Adversarial Network
(Wiley, 2024)
Fibre bundle (FB)-based endoscopes are indispensable in biology and medical
science due to their minimally invasive nature. However, resolution and contrast
for fluorescence imaging are limited due to characteristic ...