Simple Summary The combination of digital pathology (DP) with artificial intelligence (AI)
offers faster, more accurate, and more comprehensive diagnoses, resulting in more precise …

Systems, methods and devices for determination of disease class scores for patient tissue
are disclosed. The disease class scores may be based on the probability or probability-like …

The invention relates to the automated determination of the staining quality of an IHC
stained biological sample. A plurality of features is extracted from a digital IHC stained tissue …

A computer implemented image processing method is provided for identifying a tissue
boundary of a tumor region of a tissue sample, the tissue sample containing non-tumor …

The present invention is directed to a system and method for automatic detection,
localization, and semantic segmentation of at least one anatomical object in a parameter …

When reviewing digital pathology tissue specimens, mul tiple slides may be created from
thin, sequential slices of tissue. These slices may then be prepared with various stains and …

Glovsky and Popeo, PC (57) ABSTRACT Systems and methods of a medical analytics
system are described herein. The medical analytics system can include a machine learning …

A system associated with quantifying a density level of tumor-infiltrating lymphocytes, based
on prediction of reconstructed TIL information associated with tumoral tissue image data …

The technology disclosed processes a first input through a first neural network and produces
a first output. The first input comprises first image data derived from images of analytes and …

A method for identifying blurred areas in digital images of stained tissue involves artificially
blurring a learning tile and then training a pixel classifier to correctly classify each pixel as …