Пікірлер
@sevdaogut9185
@sevdaogut9185 2 ай бұрын
Have you shared the supplementary material?
@kieran8181
@kieran8181 2 ай бұрын
Outstanding job
@talatzehra5966
@talatzehra5966 4 ай бұрын
Very nice talk Dr. Shaban 😊
@golammostafa7164
@golammostafa7164 6 ай бұрын
Thank you. Can you give me a link of any open source system for mitosis count.
@tiawarwick6042
@tiawarwick6042 5 ай бұрын
Unfortunately, the mitosis detection algorithm used in this paper is not publicly available. However, the author's have released another paper specifically for this mitosis detection algorithm: www.sciencedirect.com/science/article/pii/S1361841524000574 In addition to this, this algorithm is available for use on an image-by-image basis on Grand Challenge: grand-challenge.org/algorithms/mdfs/ The authors have also released the model output by the MDFS algorithm on TCGA-BRCA on Zenodo: zenodo.org/records/10245707
@SinaEbrahimi-ee3fq
@SinaEbrahimi-ee3fq 9 ай бұрын
Inspiring research
@samuelbriana4542
@samuelbriana4542 10 ай бұрын
P r o m o S M 💔
@kaveh_shh
@kaveh_shh Жыл бұрын
That was great. Thanks
@nicolenajames3589
@nicolenajames3589 2 жыл бұрын
I started taking the medication I bought from Dr okoukpato on KZfaq and surprisingly it was working gradually and in 9days everything changed, I am really happy that you helped me cure my 3yrs Herpes naturally & I pray that God strengthens you Dr okoukpato
@HenrikSahlinPettersen
@HenrikSahlinPettersen 2 жыл бұрын
Thank you! For a tutorial on how to do deep learning based segmentation without the need to write any code using only open-source free software, we have recently published an arXiv preprint of this pipeline with a tutorial video here: kzfaq.info/get/bejne/b8qEmbio07Kaqo0.html The pipeline is especially suited for pathologists who are not programmers and want to do deep segmentation of histopathological whole slide images.
@mohsenensafjoo7912
@mohsenensafjoo7912 3 жыл бұрын
Thank you very much for the videos. In this course of PathLAKE Masterclasses 2021, one can find a well rounded introduction to the topic of "AI in pathology", and It is a great starting point for researchers. Specially the Hands-on ‘0 to AI’ sections.