Yesterday our algorithm developers took a break from their regular duties to take part in vision day at Tel-Aviv University. It’s always great to meet our colleagues and to catch up with some cutting edge computer vision research.
Here are some of the talks we found particularly interesting and relevant to our work:
- Anat Levin from the Technion talked about “Imaging deep inside scattering tissue using an optical power algorithm”. The paper discusses the use of adaptive optics and advanced algorithms to increase the depth of fluorescent imaging in tissue to 100s of microns. The presentation includes some incredible images of neurons in mice brains. For more details see this paper in nature communications.
- Another interesting paper from the Technion by Tom Bekor and coworkers was “FreeAugment: Data augmentation search across all degrees of freedom”. The paper presents an innovative approach for systematically finding the best data augmentation policy for each deep learning task. Instead of the usual trial and error approach, they propose to learn the augmentation policy (including type, order and strength of the augmentations) as part of the training process. For more details on the code and paper, see this github repository
- One of the most challenging aspects of applying AI to medical applications is the need to provide the clinical experts using the AI model with insight for a given result. This is critical for increasing the confidence in the model results, and can also provide valuable clinical insight. Oded Rotem and Assaf Zaritsky from the Ben-Gurion University address this issue in their paper “Visual interpretability of image based classification models”, where they propose a generative model to discover underlying visual properties driving image-based classification models. They also discuss the application of this approach to the interpretation of classification of in vitro fertilization embryo morphology quality. For more details see also their paper in Nature communications.
Thanks to the organizers for a great day, and looking forward to next year’s vision day!
