Artificial intelligence for digital and computational pathology
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …
including deep learning, have boosted the field of computational pathology. This field holds …
The 2019 Genitourinary Pathology Society (GUPS) white paper on contemporary grading of prostate cancer
JI Epstein, MB Amin, SW Fine… - … of pathology & …, 2021 - meridian.allenpress.com
Context.—Controversies and uncertainty persist in prostate cancer grading. Objective.—To
update grading recommendations. Data Sources.—Critical review of the literature along with …
update grading recommendations. Data Sources.—Critical review of the literature along with …
A visual–language foundation model for pathology image analysis using medical twitter
The lack of annotated publicly available medical images is a major barrier for computational
research and education innovations. At the same time, many de-identified images and much …
research and education innovations. At the same time, many de-identified images and much …
A visual-language foundation model for computational pathology
The accelerated adoption of digital pathology and advances in deep learning have enabled
the development of robust models for various pathology tasks across a diverse array of …
the development of robust models for various pathology tasks across a diverse array of …
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval
Benefiting from the large-scale archiving of digitized whole-slide images (WSIs), computer-
aided diagnosis has been well developed to assist pathologists in decision-making. Content …
aided diagnosis has been well developed to assist pathologists in decision-making. Content …
Fast and scalable search of whole-slide images via self-supervised deep learning
The adoption of digital pathology has enabled the curation of large repositories of gigapixel
whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic …
whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic …
Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis
We use deep transfer learning to quantify histopathological patterns across 17,355
hematoxylin and eosin-stained histopathology slide images from 28 cancer types and …
hematoxylin and eosin-stained histopathology slide images from 28 cancer types and …
[HTML][HTML] Artificial intelligence (AI) and big data in cancer and precision oncology
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 …
the healthcare sector. Advancement in technology has paved the way for analysis of big …
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
The microscopic assessment of tissue samples is instrumental for the diagnosis and staging
of cancer, and thus guides therapy. However, these assessments demonstrate considerable …
of cancer, and thus guides therapy. However, these assessments demonstrate considerable …
Artificial intelligence in diagnostic pathology
S Shafi, AV Parwani - Diagnostic pathology, 2023 - Springer
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …