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Can I read Artificial Intelligence as the Next Step Towards Precision Pathology on EtoBox?
Artificial Intelligence as the Next Step Towards Precision Pathology by B. Acs; M. Rantalainen; J. Hartman is a Medicine article available to read on EtoBox.
What is Artificial Intelligence as the Next Step Towards Precision Pathology about?
Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic diagnosis of cancer is increasing as personalized cancer therapy requires accurate biomarker assessment. The appearance of digital image analysis holds promise to improve both the volume and precision of histomorphological evaluation. Recently, machine learning, and particularly deep learning, has enabled rapid advances in computational pathology. The integration of machine learning into routine care will be a milestone for the healthcare sector in the next decade, and histopathology is right at the centre of this revolution. Examples of potential high-value machine learning applications include both model-based assessment of routine diagnostic features in pathology, and the ability to extract and identify novel features that provide insights into a disease. Recent groundbreaking results have demonstrated that applications of machine learning methods in pathology significantly improves metastases detection in lymph nodes, Ki67 scoring in breast cancer, Gleason grading in prostate cancer and tumour-infiltrating lymphocyte (TIL) scoring in melanoma. Furthermore, deep learning models have also been d
Who reads Artificial Intelligence as the Next Step Towards Precision Pathology?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- B. Acs; M. Rantalainen; J. Hartman
- Publisher
- John Wiley and Sons; Wiley (Blackwell Publishing); Blackwell Publishing Inc.; Wiley (ISSN 0954-6820)
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)