… pathology slides and the development of deep learning methods … samples from the tissue to
the slide or digital image level. … In general, the area/pixel-, cell-, and object-based algorithms …

… in combination with an object-based data structure which allows … tissue are heterogeneous
objects with a high variability (Fig 6). For detecting these objects, we apply a deep learning …

… Digital tissue image analysis powered by cutting edge … Object-based measurements rely
on segmentation of the image … and the machine learning approach is that in the former, tissue …

… histopathological images utilizing deep learning techniques. In … This digitization of tissue
slides is referred to as digital … demand for an automated grading system. The advancements in …

… for modifications to artificial intelligence/machine learning-based … data from whole-slide
images (WSIs) of tissue by means of … image analysis were mainly focused on the automated …

… tissues and their analysis through open-source deep and machine learning tools. … QuPath
is “object-based” software, in which an object consists of a region or an element that can be …

… counting software of Ki-67 based on WTS by deep learning. … based on WTS, and the
automated scoring of Ki67 can thus … slides for testing on whole tissue sections, these slides were …

… machine learning (ML) for the automatic identification, classification, and counting of objects
(eg, cell nuclei) inside DP tissue slides… disease class scores for patient tissues by equipping …

… representation of a whole slide of tissue taken from a patient in a … can bring little diagnostic
importance: an automatic … and coordinates are computed as a score-weighted average of all …

… stained tissue sections from glass slides in a format that … Other algorithms use object-based
counting or assessment … of AI and machine learning tools in digital pathology in the area of …