Fahime Sheikhzadeh
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View article: Navigating real-world challenges: A case study on federated learning in computational pathology
Navigating real-world challenges: A case study on federated learning in computational pathology Open
View article: A review on federated learning in computational pathology
A review on federated learning in computational pathology Open
Training generalizable computational pathology (CPATH) algorithms is heavily dependent on large-scale, multi-institutional data. Simultaneously, healthcare data underlies strict data privacy rules, hindering the creation of large datasets.…
View article: Selection of Representative Histologic Slides in Interobserver Reproducibility Studies: Insights from Expert Review for Ovarian Carcinoma Subtype Classification
Selection of Representative Histologic Slides in Interobserver Reproducibility Studies: Insights from Expert Review for Ovarian Carcinoma Subtype Classification Open
View article: Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks
Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks Open
This paper addresses the problem of quantifying biomarkers in multi-stained tissues based on the color and spatial information of microscopy images of the tissue. A deep learning-based method that can automatically localize and quantify th…
View article: Improving cervical neoplasia diagnosis via novel in vivo imaging technologies and deep learning algorithms
Improving cervical neoplasia diagnosis via novel in vivo imaging technologies and deep learning algorithms Open
Two directions are explored for improving the current cervical cancer diagnosis procedure. The first investigates the future deployment of in vivo confocal imaging in the clinic, for detecting precancerous tissues, and the second proposes …
View article: Automatic labeling of molecular biomarkers of whole slide immunohistochemistry images using fully convolutional networks
Automatic labeling of molecular biomarkers of whole slide immunohistochemistry images using fully convolutional networks Open
This paper addresses the problem of quantifying biomarkers in multi-stained tissues, based on color and spatial information. A deep learning based method that can automatically localize and quantify the cells expressing biomarker(s) in a w…
View article: Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia
Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia Open