Видео

This works well in outpatients. It is really difficult a correct linking the patients with low pulmonary volumes or different degrees of inspiratory effort between 2 different CT examinations.

"promosm"

come to Turkey as well :)

🙈 *promosm*

Bravo l'équipe de neuropathologie de Saint Anne beaucoup de professionnalisme

Very useful! Kudos

░p░r░o░m░o░s░m░ 😊

ᴘʀᴏᴍᴏsᴍ 😁

Thanks! For a tutorial on how to do deep learning based segmentation without the need to write any code using only open-source free software (Qupath/DeepMIB/FastPathology), we have recently published an arXiv preprint of this pipeline with a tutorial video here: ruclips.net/video/9dTfUwnL6zY/видео.html The pipeline is especially suited for pathologists who are not programmers and want to do deep segmentation of histopathological whole slide images.

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: ruclips.net/video/9dTfUwnL6zY/видео.html The pipeline is especially suited for pathologists who are not programmers and want to do deep segmentation of histopathological whole slide images.

Not up to the mark....many things needs to be done

Je comprends pas

wow

Win a day at the studio🐍 youngboyfollowtowin.com Good video! I'm liked and share 429 times :D

How to remove ID check from started patients

Do you think with the changes that are happening, that radiology is worth studying in 2020? Or it a waste of time?

Good video! I'm liked and share 429 times :D

which algorithms are very efficient to detect the cells in digital pathology?

Anna Karenina. Very creative :)

Nice job

Riktigt bra presentation, är helt övertygad om att ni är på rätt väg med "pay as you go" / Cloudtjänstmodellen både vad gäller direkt lönsamhet men framförallt expansion