Nuclear detection, segmentation and morphometric profiling are essential in hel** us
further understand the relationship between histology and patient outcome. To drive …

Deep learning models have exhibited exceptional effectiveness in Computational Pathology
(CPath) by tackling intricate tasks across an array of histology image analysis applications …

Counting of mitotic figures is a fundamental step in grading and prognostication of several
cancers. However, manual mitosis counting is tedious and time-consuming. In addition …

With the advent of digital pathology and microscopic systems that can scan and save whole
slide histological images automatically, there is a growing trend to use computerized …

Stain normalization algorithms aim to transform the color and intensity characteristics of a
source multi-gigapixel histology image to match those of a target image, mitigating …

Deep learning models have shown immense promise in computational pathology (CPath)
tasks, but their performance often suffers when applied to unseen data due to domain shifts …