Given the recent success of artificial intelligence (AI) in computer vision applications, many
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …

Object segmentation is an important step in the workflow of computational pathology. Deep
learning based models generally require large amount of labeled data for precise and …

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 …

Instance segmentation is an important task for biomedical and biological image analysis.
Due to the complicated background components, the high variability of object appearances …

Digital histopathology image segmentation can facilitate computer-assisted cancer
diagnostics. Given the difficulty of obtaining manual annotations, weak supervision is more …

From the simple measurement of tissue attributes in pathology workflow to designing an
explainable diagnostic/prognostic AI tool, access to accurate semantic segmentation of …

The detection of mitotic figures from different scanners/sites remains an important topic of
research, owing to its potential in assisting clinicians with tumour grading. The MItosis …

The detection of mitotic figures from different scanners/sites remains an important topic of
research, owing to its potential in assisting clinicians with tumour grading. The MItosis …

Collaboratively leveraging limited pixel-level segmentation annotations and large-scale
slide-level classification labels in hybrid supervision learning can significantly enhance …

Artificial intelligence can revolutionize scientific projects, but scientists face challenges in
reusing, integrating, and deploying cost-effective and high-quality machine learning …