Dr.
Metin Gurcan will be chairing the Histopathology Image Analysis (HIMA)
workshop in Chicago, Ill on October 6, 2012 as part of the Pathology Informatics Meeting. HIMA
is a series of meetings and workshops organized to advance the field of
histopathological image analysis. This workshop aims to bring together
clinicians, computer scientists and industrial vendors of digital pathology
equipment to discuss clinical challenges and open problems, and present the
state-of-the-art research in quantitative image analysis and visualization
methods for digital pathology, diagnosis, and prognosis from H&E and IHC
stained, multi-parametric imaging. This is the third time
that this workshop is organized as part of the Pathology Informatics
conference. This year it is going to feature six keynote speakers from both
Europe and the USA.
The CIA lab has recently had 4 articles published in PLOS One and the Journal of Urology. Automated Staging Of T1 Bladder Cancer Using Digital Pathologic H&E Images: A Deep Learning approach (Journal of Urology). The paper discusses the need for accurately gauging tumor cell intrusion into Lamina Propria in an effort to substage bladder cancer. It explains how transfer learning in conjunction with Convolutional Neural Networks can be used to accurately identify different bladder layers and then compute the distance between tumor nuclei and Lamina Propria. The article is available here: https://www.jurology.com/article/S0022-5347(18)41148-2/pdf Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning (PLOS One). This paper examines a proposed methodology to automatically differentiate between NET and non-tumor regions based on images of Ki67 stained biopsies. It also uses transfer learning to exploit a rich set of features ...
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