MITEL – Medical Informatics, Telemedicine & eHealth Lab

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.

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.