
How Can Digital Pathology Help in Cancer Diagnosis?

Dennis Vermeulen
Business Development at PreciPoint. Supports customers in the digitization of their laboratories throughout Germany.
- February 13, 2023
- 10:39 am
- Digital microscopy
In modern medicine, the importance of quality diagnostics cannot be neglected. A critical area in modern medicine is digital pathology, a fast-growing field that could help revolutionize the procedure for high-quality cancer diagnostics. Digital imaging technology is used to manage the images of tissue samples, which includes their capture, storage, and image analysis. The technology is highly effective in cancer diagnostics.
In digital pathology, pathologists can very easily zoom the areas of interest and enhance the contrast of images to research the samples. The pathologist analyzes the sample, makes the diagnosis, and sends it to the specialist, who decides on the patient’s treatment or contacts the specialist pathologist to discuss the case.
Quality, Speed, and AI for Efficient Cancer Fighting


Role of CAD Algorithms in Digital Pathology
CAD algorithms take digital pathology to the next level. It provides a large quantity of data regarding high-quality tissue images. CAD systems are trained to recognize certain patterns and features that are associated with cancer, like abnormal cell growth or abnormal cell structures. CAD algorithms enable automated analysis of many digital images. When done manually, this takes a long time and frequently results in errors. Digital pathology reduces errors and improves the efficiency of the diagnostic process. CAD systems also allow the creation of a database of images and patient data for future reference. This can be very helpful in tracking disease progression and treatment outcomes. The CAD system can identify specific patterns and features associated with the disease, making the whole diagnostic process more efficient and effective.