no code implementations • 7 Sep 2023 • Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
Previous methods use Maximum Intensity Projection (MIP) to convert immunofluorescent images with multiple slices to 2D images, which can cause signals from different z-stacks to falsely appear associated with each other.
no code implementations • 29 Jul 2022 • Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
In this study, we used a weakly supervised learning approach to train the HoVer-Net segmentation model using point annotations to detect nuclei in fluorescent images.
no code implementations • 22 Dec 2019 • Mojtaba Farrokh, Mehrdad Shafiei Dizaji, Farzad Shafiei Dizaji, Nazanin Moradinasab
The generality of the proposed model has been evaluated by applying it to various hysteresis from different areas of engineering with different characteristics.