Видео

This talk is a recording of the talk given by Jonas Ammeling on BVM 2023 (bvm-workshop.org). If you want to stay up to date on our research, bookmark our "Insights" blog: deepmicroscopy.org/insights/. Paper: link.springer.com/chapter/10.1007/978-3-658-41657-7_48 Github: github.com/DeepMicroscopy/Cox_AMIL

I taped the rehearsal for my BVM2023 talk. The paper is entitled: Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector. Paper: link.springer.com/chapter/10.1007/978-3-658-41657-7_40 repo: github.com/DeepMicroscopy/HierarchicalFCOS

Full-length recording of the MIDOG MICCAI workshop 2022. 00:00:00 Welcome address (Katharina Breininger) 00:01:45 Introduction (Katharina Breininger, Christof Bertram) 00:36:09 Reference approaches (Frauke Wilm) 00:49:53 Keynote: An industrial perspective on digital pathology & mitosis detection (Rutger Fick) 01:43:04 Yang Chen: Multi Task RetinaNet for Mitosis Detection 01:52:12 Satoshi Kondo:...

In this video you will learn about how to score an invitation to the MIDOG 2022 workshop and how to have your paper accepted to the proceedings.

In this short video I will be introducing the baseline approaches for the MIDOG MICCAI 2022 challenge. If you are interested in the challenge and want to join, you can find all details here: imig.science/midog/

In this short video, we will introduce the schedule for MIDOG 2022.

Did you ever wonder how microscopy images are digitalized? Watch an inside view from our Aperio ScanScope CS scanner to see how! Even though this model is not the most recent one, the basic principle is unchanged and the image quality of the model is still top notch! The scanner first readjusts focus (hence the head is moving up and down) and then scans a line of the microscopy slide. This scan...

In this video I'm demoing the test and upload process of the MIDOG MICCAI 2021 challenge. We're using the fine services from grand-challenge.org for this. Please see our challenge website for details on the challenge : imi.thi.de/midog/

In this brief status update I report about the timeline and the latest news concerning the MIDOG MICCAI 2021 challenge.

In this short video Marc Aubreville is demoing how to clone, modify and build your docker container to participate in the MIDOG 2021 MICCAI challenge on mitosis detection in histopathology images.

In this video, we introduce the MIDOG 2021 challenge. The task of this challenge is the detection of cell division on tumor histopathology slices acquired by different scanners. It is held in collaboration with MICCAI 2021. Challenge website: imi.thi.de/midog/

This video introduces our recent publication in Scientific Data, an example of how deep learning algorithms can be transferred from one species to another. Find the publication here: www.nature.com/articles/s41597-020-00756-z Find the repo here: github.com/DeepPathology/MITOS_WSI_CMC

In this video, I talk about our work in finding the mitotically most active tumor region, with the goal of having a more stable mitotic count in tumor prognistication. The paper was published in SpringerNature's Scientific Reports: www.nature.com/articles/s41598-020-73246-2