Deep learning for colon cancer histopathological images analysis

AB Hamida, M Devanne, J Weber, C Truntzer… - Computers in Biology …, 2021 - Elsevier
Nowadays, digital pathology plays a major role in the diagnosis and prognosis of tumours.
Unfortunately, existing methods remain limited when faced with the high resolution and size …

[HTML][HTML] Artificial intelligence (AI) and big data in cancer and precision oncology

Z Dlamini, FZ Francies, R Hull, R Marima - Computational and structural …, 2020 - Elsevier
Artificial intelligence (AI) and machine learning have significantly influenced many facets of
the healthcare sector. Advancement in technology has paved the way for analysis of big …

Integrated digital pathology at scale: a solution for clinical diagnostics and cancer research at a large academic medical center

PJ Schüffler, L Geneslaw… - Journal of the …, 2021 - academic.oup.com
Objective Broad adoption of digital pathology (DP) is still lacking, and examples for DP
connecting diagnostic, research, and educational use cases are missing. We blueprint a …

Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis

AV Parwani - Diagnostic pathology, 2019 - Springer
Pathology is the study and diagnosis of disease through the examination of body tissue,
which is typically fixed on glass slides and viewed under a microscope. Most medical …

[HTML][HTML] Artificial intelligence in digital pathology of cutaneous lymphomas: A review of the current state and future perspectives

T Doeleman, LM Hondelink, MH Vermeer… - Seminars in Cancer …, 2023 - Elsevier
Primary cutaneous lymphomas (CLs) represent a heterogeneous group of T-cell lymphomas
and B-cell lymphomas that present in the skin without evidence of extracutaneous …

[HTML][HTML] Recommendations for pathologic practice using digital pathology: consensus report of the Korean Society of Pathologists

Y Chong, DC Kim, CK Jung, D Kim… - Journal of Pathology …, 2020 - ncbi.nlm.nih.gov
Digital pathology (DP) using whole slide imaging (WSI) is becoming a fundamental issue in
pathology with recent advances and the rapid development of associated technologies …

Machine learning and augmented human intelligence use in histomorphology for haematolymphoid disorders

A Nanaa, Z Akkus, WY Lee, L Pantanowitz, ME Salama - Pathology, 2021 - Elsevier
Advances in digital pathology have allowed a number of opportunities such as decision
support using artificial intelligence (AI). The application of AI to digital pathology data shows …

[HTML][HTML] Is the time right to start using digital pathology and artificial intelligence for the diagnosis of lymphoma?

ME Salama, WR Macon… - Journal of Pathology …, 2020 - ncbi.nlm.nih.gov
Journal of Pathology Informatics 2 screen capture software, Snag-It® was used to capture
40× 40 pixel image patches. Four sets of five representative images from the 128 cases …

An overview of few-shot learning methods in analysis of histopathological images

J Szołomicka, U Markowska-Kaczmar - Advances in Smart Healthcare …, 2023 - Springer
Abstract Analysis of histopathological images allows doctors to diagnose diseases like
cancer, which is the cause of nearly one in six deaths worldwide. Classification of such …

Validation of Digital Pathology Platform for Metabolic-Associated Steatohepatitis for Clinical Trials

H Pulaski, SS Mehta, LC Manigat, S Kaufman, H Hou… - medRxiv, 2023 - medrxiv.org
Aims: Determine if pathologic assessment of disease activity in steatohepatitis, performed
using Whole Slide Images (WSIs) on the AISight Clinical Trials platform, yields results that …