The emergence of digital pathology—an image-based environment for the acquisition,
management and interpretation of pathology information supported by computational …

Digital imaging in pathology has undergone an exponential period of growth and expansion
catalyzed by changes in imaging hardware and gains in computational processing. Today …

Resistance to temozolomide (TMZ) based chemotherapy in glioblastoma multiforme (GBM)
has been attributed to the upregulation of the DNA repair protein O 6-methylguanine-DNA …

This review focuses on machine learning and on how methods and models combining data
analytics and artificial intelligence have been applied to laboratory medicine so far. Although …

Context We define the scope and needs within the new discipline of computational
pathology, a discipline critical to the future of both the practice of pathology and, more …

Computer-aided prognosis (CAP) is a new and exciting complement to the field of computer-
aided diagnosis (CAD) and involves develo** and applying computerized image analysis …

Sažetak The current scenario of in vitro and in vivo diagnostics can be summarized using
the “silo metaphor”, where laboratory medicine, pathology and radiology are three …

In this work, we present a new methodology to facilitate prediction of recurrent prostate
cancer (CaP) following radical prostatectomy (RP) via the integration of quantitative image …

Background Automated classification of histopathology involves identification of multiple
classes, including benign, cancerous, and confounder categories. The confounder tissue …

Translation of radiomics into the clinic may require a more comprehensive understanding of
the underlying morphologic tissue characteristics they reflect. In the context of prostate …