Abstract
Breast cancer is one of the most common cancer diseases in the world among women. The reliability of histological verification of breast cancer depends on pathologist’s experience, knowledge, his willingness to self-improve and study specialized literature. Digital pathology is also widely used for educational purposes, in telepathology, teleconsultation and research projects. Recently developed Whole Slide Image (WSI) system opens great opportunities in the histopathological diagnosis quality improvement. Digital whole-slide images provide the effective use of morphometry and various imaging techniques to assist pathologists in quantitative and qualitative evaluation of histopathological preparations. The development of software for morphological diagnosis is important for improving the quality of histological verification of diagnosis in oncopathology. The purpose of this work is to find and benchmark existing open-source software for the whole-slide histological images processing. Choosing an open source program is an important step in developing an automated breast cancer diagnosis program. The result is a detailed study of open-source software: ASAP, Orbit, Cytomine and QuPath. Their features and methods of image processing were analyzed. QuPath software has the best characteristics for extending it with an automated module for the cancer diagnosis. QuPath combines a user-friendly, easy-to-use interface, customizable functionality, and moderate computing power requirements. Besides, QuPath works with whole-slide images with immunohistochemical markers; features implemented in this software allow making a morphometric analysis. QuPath saves time for a graphical user interface development and provides a scalable system to add new key features. QuPath supports third-party MATLAB and Python extensions.
Highlights
Breast cancer is one of the most common cancer diseases in the world among women [1]
Digital pathology is widely used for educational purposes, in telepathology, teleconsultation, and research projects [2]
The analysis was performed on software with extensible program interface which is designed to work with whole-slide images
Summary
Breast cancer is one of the most common cancer diseases in the world among women [1]. It amounts 23–27% of malignant neoplasms found among women and develops twice as often as cancer of some other localization [1]. Due to the facts above, the issue of hightech (using advanced information technologies) expert system development is relevant for pathologists and for every woman waiting for reliable morphological verification of the malignant process of the mammary gland with an accurate assessment of receptor status. Digital pathology allows you to share slides and annotate them much easier. Downloading and uploading the annotated sets of data creates new opportunities for e-learning and knowledge sharing in the sphere of pathological anatomy
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