Our new paper is out @ESMO_Open, by @a_echle@GhaffariNarmin et al. We validate #AI for detection of #MSI in #colorectal#cancer. This is the largest such study to date (>8300 patients) and shows how to integrate this technology in diagnostic workflows https://t.co/7RJJIFTrNw
In this review, we summarize and compare the existing studies on Deep-Learning-based detection of MSI/dMMR in CRC, what has become a widely used benchmark task for academic studies in the field of computational pathology since 2019. @jnkath@GhaffariNarmin
A new review paper was published π
Deep Learning for the detection of microsatellite instability from histology images in colorectal cancer: a systematic literature review @a_echle@jnkath https://t.co/NcsCEjiN4z
You can still sign up for our "#AI in #pathology" course for 2022 https://t.co/BMv0W6g6IG. The course will be online with a summer seminar in Paris π«π·πͺπΊ directors: @Caldera60373705 and @GhaffariNarmin.
Very proud of my PhD student @GhaffariNarmin who just had her first abstract accepted for the #COMPAY workshop at the @MICCAI_Society conference 2021 π https://t.co/hi8Kbsyb6j @RWTH
Thanks to @pathsoc and @BritishDivIAP (and to the worldβs best lab led by @jnkath) I spoke about #DigitalPathology in #Cancer research at the Manchester Pathology 2021 conference today. Grateful for the opportunity and for an inspiring conference! #MP2021
Our research was covered in the Bavarian Television today [in German only π₯¨] @BR_Presse@RWTH@UniklinikAachen π¬π» ... at 03:40 @a_echle is running a deep learning experiment on #colorectal#cancer πhttps://t.co/ZB8R6njNvj
Wir gratulieren π: Dr. Jakob Nikolas Kather, Arzt und Wissenschaftler aus unserer Med. Klinik III, wird vom @BMBF_Bund und der @dfg_public fΓΌr seine innovative #Forschung mit dem 20.000 Euro dotierten Heinz Maier-Leibnitz-Preis ausgezeichnet.
@jnkath
πhttps://t.co/tp3J9V9xPu
This week: #EMPAIAAcademy
Free 4.5h courses for #pathologists and computational scientists | https://t.co/jvHc9Q0Iii
March 3rd: IT/AI for pathologists (basic)
March 5th: Pathology for IT/AI specialists (basic)
Course language: German | #digitalpathology#computationalpathology
Our new paper is out in the Jnl of Pathology π¬π» "DL detects genetic alterations in cancer histology generated by adversarial networks" https://t.co/ZqU8o1jHlr We show that synthetic histology preserves molecular information. Project led by medical student @JeremiasKrause π§βπ»π