18 April 2024 | In this 1-hour webinar learn about SlideQC BF 3.0, an AI-based image quality control network that detects and segments most common artifacts including air bubbles, debris, folds, out of focus regions, and pen marker in both hematoxylin and eosin (H&E) and immunohistochemistry (IHC) images.
AI-based Slide Quality Control Workflows for Life Science and Clinical Applications Read More »
19 March 2024 | Please join us for this 1-hour webinar to learn about the latest features supporting macrodissection workflows
HALO AP® 2.3 and Lung Macrodissect AI Sneak Peek Read More »
30 November 2023 | Learn how to implement Lung PD-L1 AI to assist PD-L1 scoring in non-small cell lung cancer
28 September 2023 | Please join us for this 1-hour webinar to learn about the exciting new features of our AI-powered, pathologist-driven digital pathology platform, HALO AP, and our Breast IHC AI suite
Sneak Peek: HALO AP® 2.2 and Breast IHC AI Read More »
16 October 2022 | In this 1-hour workshop, Eric Runde, Chief Operating Officer at Indica Labs, will introduce Indica’s platforms, our collaborative approach to incorporating artificial intelligence (AI) into life science and clinical workflows, and the open pathology tools available to developers and industry partners. Dr. Peter Caie, Principal Scientist of AI Collaborations at Indica Labs, will present case studies of customer collaborations resulting in the development and validation of commercially available and inter-operable AI algorithms addressing customer needs.
05 October 2022 | Join us for this 1-hour webinar to learn how to implement the HALO Prostate AI tool for prostate cancer detection and grading
HALO Prostate AI – A Tool for Automated Detection and Gleason Grading of Prostate Cancer Read More »
8 September 2021 | Digital pathology provides an advantage of automatizing many routine pathological tasks via computational algorithms and tools. The reporting of prostate cases is time-consuming due to a large number of slides per case. Moreover, tumor aggressivity grading (Gleason score) is well known for its subjective nature and high levels of interobserver variability. In this webinar, we will demonstrate a deep learning-based tool developed for the detection of prostate cancer in histological slides (prostate biopsies and prostatectomy specimens) and its histological grading (Gleason grading). We will present the results of the actual validation study showing high levels of accuracy in both tasks. We will discuss the practical aspects of the implementation of such tools in the diagnostic routine.
Automated Detection and Gleason Grading of Prostate Cancer in Digital Pathology Read More »
