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Latest Article
Assessing the Ability of AI To Score Ki-67 in Sarcomas
Info Background: Quantitative immunohistochemistry (IHC) is an integral part of histopathology reporting, providing vital information such as tumour characterisation and prognosis.
A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer
Colorectal cancer is one of the most common cancers worldwide, accounting for an annual estimated 1.8 million incident cases. With the increasing number of colonoscopies being perf
Image Analysis Using Machine Learning for Automated Detection of Hemoglobin H Inclusions in Blood Smears – A Method for Morphologic Detection of Rare Cells
Background: Morphologic rare cell detection is a laborious, operator-dependent process which has the potential to be improved by the use of image analysis using artificial intelli
Can Deep Learning Artificial Intelligence Assist Busy Pathologists in Screening for Colorectal Malignancies?
Info Background: Colorectal cancer is one of the top three cancers afflicting men and women worldwide, with an estimated 1.8 million people diagnosed in 2018. As colonoscopies beco
How to Build a Modern IT Infrastructure for your Digital Pathology Lab (Part 3/3)
Storage, Compute, and Other Considerations Storage servers It is highly recommended to separate storage and compute components in an IT infrastructure setup. This separation allows
How to Build a Modern IT Infrastructure for your Digital Pathology Lab (Part 2/3)
Private Cloud IT Infrastructure Architectures Traditional infrastructures Prior to the introduction of “virtualization”, organizations used to run and manage their software app
How to Build a Modern IT Infrastructure for your Digital Pathology Lab (Part 1/3)
Pathology Labs and IT infrastructure alternatives Building a modern IT infrastructure for pathology labs is a complicated undertaking and requires a significant amount of planning,
Assessing the Ability of AI To Score Ki-67 in Sarcomas
Info Background: Quantitative immunohistochemistry (IHC) is an integral part of histopathology reporting, providing vital information such as tumour characterisation and prognosis.
A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer
Colorectal cancer is one of the most common cancers worldwide, accounting for an annual estimated 1.8 million incident cases. With the increasing number of colonoscopies being perf
Image Analysis Using Machine Learning for Automated Detection of Hemoglobin H Inclusions in Blood Smears – A Method for Morphologic Detection of Rare Cells
Background: Morphologic rare cell detection is a laborious, operator-dependent process which has the potential to be improved by the use of image analysis using artificial intelli
Can Deep Learning Artificial Intelligence Assist Busy Pathologists in Screening for Colorectal Malignancies?
Info Background: Colorectal cancer is one of the top three cancers afflicting men and women worldwide, with an estimated 1.8 million people diagnosed in 2018. As colonoscopies beco
How to Build a Modern IT Infrastructure for your Digital Pathology Lab (Part 3/3)
Storage, Compute, and Other Considerations Storage servers It is highly recommended to separate storage and compute components in an IT infrastructure setup. This separation allows
How to Build a Modern IT Infrastructure for your Digital Pathology Lab (Part 2/3)
Private Cloud IT Infrastructure Architectures Traditional infrastructures Prior to the introduction of “virtualization”, organizations used to run and manage their software app
How to Build a Modern IT Infrastructure for your Digital Pathology Lab (Part 1/3)
Pathology Labs and IT infrastructure alternatives Building a modern IT infrastructure for pathology labs is a complicated undertaking and requires a significant amount of planning,