MITEL - Medical Informatics, Telemedicine & eHealth Lab » image analysis https://mitel.dimi.uniud.it/mitel2 at the University of Udine, Italy Tue, 10 Oct 2023 07:30:01 +0000 en-US hourly 1 http://wordpress.org/?v=4.2.2 SlideJ plugin available https://mitel.dimi.uniud.it/mitel2/?p=89 https://mitel.dimi.uniud.it/mitel2/?p=89#comments Wed, 28 Jun 2017 08:20:42 +0000 http://mitel.dimi.uniud.it/mitel2/?p=89 SlideJ is an ImageJ plugin for processing digital slides (also known as virtual slides, WSI, etc). It has been developed by MITEL and is now available at Github and also on ImageJ.net.

]]> https://mitel.dimi.uniud.it/mitel2/?feed=rss2&p=89 0 Automated recognition of hotspots in Ki67 slides: paper online now https://mitel.dimi.uniud.it/mitel2/?p=77 https://mitel.dimi.uniud.it/mitel2/?p=77#comments Wed, 10 May 2017 11:58:49 +0000 http://mitel.dimi.uniud.it/mitel2/?p=77 A paper on automated recognition of hotspots in which to evaluate Ki67 positivity has been just accepted and published online by Computerized Medical Imaging and Graphics:

David Pilutti, Vincenzo Della Mea, Enrico Pegolo, Francesco La Marra, Fulvio Antoniazzi, Carla Di Loreto. An adaptive positivity thresholding method for automated Ki67 hotspot detection (AKHoD) in breast cancer biopsies. Computerized Medical Imaging and Graphics, 2017, in press.

The work has been carried out with funding by the AIDPATH Marie Curie EU FP7 project, grant no.612471.

AKHOD

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