Electronic Journal

Meeting minutes of the weekly meeting 24th May 2017: ================================== – Martin will get a UCL card when registered for the MD, which will be done soon. – D. Bouget is happy to run his code with my data and

Weekly meeting between Luis and Tom: 17th May 2017 ================================== – What I have done: 1) Asked CS department for an account for Martin. He is filling the required forms for this purpose. 2) Gave Martin 1000 images (white light

Weekly meeting with Tom: ======================== – First draft of the journal almost finished. Current word count 6203 words, maximum allowed is 5000. – Virtuose will be tested this afteernoon. – Check the MICCAI challenges for instrument detection/segmentation. – RSG demos

Hi Tom, Meeting minutes for the weekly meeting: March 8, 2017. What I have done: =========== – Refactoring the IROS Python code. I realised that V-Net Dice loss layer is binarising the predicted probabilities before calculating the loss. Discussion: =======

With regards to the journal: – Be careful with DSC when images contain just background – Look at how to implement the dense optical flow as a Caffe layer (just for portability reasons) – Find a LSQ Solver (maybe CUBLAS?),

Meeting minutes from the meeting 25 Jan 2017. What I said: ======= * New organisation of the upgrade report, particularly of the literature review. * It would be interesting to make an experiment where we train an FCNs for each

What I have done: =========== * I showed the complete draft of the upgrade report. * I showed that the segmentation results (evaluated as the Dice coefficient of the foreground) on the MICCAI robotic dataset with and without data augmentation

Meeting minutes for weekly phd meeting 13 Dec 2016: ================================== I showed Tom the curves of inference speed versus image input size. Ideas for the future: ============ CNN architecture: 1) Scaling (s) 2) Residual blocks of convolutions 3) Upsample (1/s)

Weekly meeting 7 Dec 2016: Luis and Tom ========================== What I have done: =========== – I showed Tom the results without data augmentation and just training with one of the three training videos (there are 4 available for training, but

Weekly PhD meeting: Tom and Luis – 1 Dec 2016 ============================================= What I have done: ================= I have been running experiments to validate what is the best learning rate range for the MICCAI robotic dataset. Two things are interesting about