Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Nature Medicine, 2019 Gabriele Campanella +2 more
exaly +2 more sources
Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
Nature Reviews Clinical Oncology, 2019 Kaustav Bera +2 more
exaly +2 more sources
A pathology atlas of the human cancer transcriptome
Science, 2017 Mathias Uhlen, Cheng Zhang, Sunjae Lee
exaly +2 more sources
Artificial intelligence for digital and computational pathology [PDF]
Nature Reviews Bioengineering, 2023 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 tremendous potential to automate clinical diagnosis, predict patient
Andrew H. Song +6 more
semanticscholar +1 more source
NLRP3 inflammasome activation drives tau pathology
Nature, 2019 Christina Ising +2 more
exaly +2 more sources
Data-efficient and weakly supervised computational pathology on whole-slide images [PDF]
Nature Biomedical Engineering, 2020 Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and typically suffer from poor domain adaptation and interpretability.
Ming Y. Lu +5 more
semanticscholar +1 more source
The standardization of immunohistochemical detection and interpretation of CD30 expression in lymphomas [PDF]
Zhongguo aizheng zazhi, 2023 CD30 can be expressed in a variety of lymphoma subtypes, among which classical Hodgkin lymphoma (CHL) and anaplastic large cell lymphoma (ALCL) are the most common ones.
CD-Positive Lymphoma Pathology Expert Group
doaj +1 more source
Detection of CD30 expression in lymphomas: status and challenges [PDF]
Zhongguo aizheng zazhi, 2022 CD30, a member of tumor necrosis factor receptor family, is expressed in a variety of lymphoma subtypes, such as classic Hodgkin lymphoma (CHL) and anaplastic large cell lymphoma (ALCL).
LI Xiaoqiu, CD30 Positive Lymphoma Pathology Expert Group
doaj +1 more source
The Chinese Expert Consensus Recommendations on Molecular Testing in Endometrial Cancer (2021 edition) [PDF]
Zhongguo aizheng zazhi, 2021 Recently, our understanding of the pathogenesis and molecular genetic characteristics of endometrial cancer has been improved along with the development of high-throughput sequencing technology.
The Society of Gynecological Cancer of China Anti-Cancer Association, Chinese Society of Pathology of the Chinese Medical Association, National Pathology Quality Control Center
doaj +1 more source
Artificial intelligence in diagnostic pathology
Diagnostic Pathology, 2023 Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis.
Saba Shafi, Anil V. Parwani
semanticscholar +1 more source