This page presents the implementation of the stain transfer model proposed in [1] for transfering stains across histopathology datasets while analysing images (i.e., classifiying or segmenting). The ...

Directions for collecting, fixing, dehydrating and staining material have been improved and amplified and refinements of technique are detailed, which make it easy to obtain sections as thin as 2 ...

Termed Stain simultaneous augmentation and normalization (Stain SAN), the proposed method can help make stained histopathological image datasets more useful for many emerging machine-learning ...

LOS ANGELES, CA, UNITED STATES, January 15, 2025 /EINPresswire.com/ -- PictorLabs, a software company transforming histopathology with AI-powered virtual staining ...

"In study IV, we developed a deep learning-based multi-stain prognostic risk score prediction ... novel deep learning- based models for cancer histopathology image analysis (2024).