Changes between Version 10 and Version 11 of NIAID2023

Timestamp:

Jul 6, 2023, 1:48:00 PM (2 years ago)

Author:

Elaine Meng

Comment:

--

NIAID2023

@@ -43 +43 @@
 == 7/6/2023 ==
 
-next NIAID meeting
+Phil, Kristen Browne, Meghan, Darrell, Andi Bueckle, Ziv Yaniv; Zach, TomG, Eric, Elaine, Scooter, Selina
+
+Eric: uploaded a new NIH3D bundle.  Kristen: Phil was going to test some changes before we implemented.  Eric: I sent you a wheel (not on toolshed) to evaluate the presets with and without sharp boundaries, and color fromatoms.  Phil: haven't looked at that yet, sorry, when was the email?  Kristen: 6/30, will forward it.
+
+Phil: also need the newer ChimeraX with surface speedup. Kristen: we will update that at the same time we update the presets.  Phil: I'll get the newer ChimeraX for my testing purposes.
+
+Scooter: lots of DICOM progress, Zach will demo... we also have an intern Selina looking at machine-learning methods for segmenting medical images. Two methods currently: nnUNET, and another new collaboration with Johns Hopkins folks developing a method named something like universal clip (?)  Kristen: is that for CT?  Scooter: yes, potentially other modalities as well.
+
+Darrell: we have image segmentation experts on staff, I would like to invite Ziv Yaniv
+
+Zach demo: showing RIDER lung CT.  Ziv complained that the patient was face down in the initial view, said that clinicians always say that. Zach demo: the dicom view layout options and Segmentation tool with "paintbrush" type interface.  Ziv says clinicians complained that the automated segmentations were useless.  Phil is very interested in what the VR interface will be. Ziv: it will also be important how the rendering is done, because visualizing the data is the basis of manual segmentation.  TomG: we have simple windowing/leveling controls in VR, but there is a lot that could be improved.  Ziv: take a look at existing work and use it where you can, the complex presets in other programs such as 3D Slicer and Horos.
+
+back to machine learning...
+Scooter: the Johns Hopkins group has a large image set.  Ziv asks about the design: docker?  Scooter: more likely web services.
 
 == 6/15/2023 ==