Hello! I've bid for 8 days, hopefully I can read 3 papers in that time. I've background with DIP, ML as well as medical imaging, so hopefully. Some of my work is also to be part of Nature's Communnications, but that's a short work anyway. To summarize, kindly share the papers, so I can get a feel of your problem statement. In medical imaging, I've worked with fluoroscent microscopy images for 3D reconstruction of neurons (ImageJ, Vaa3D etc).
1) When you say to propose an idea, for improvement, you have not decided of a manner to add something to the work so far
2) How have you come up with the idea of using deep learning for that matter? is my wonder
What segmentation's issue you trying to solve? of course, it's classification task (since you mentioned Deep learning) but, specific constraints??
RESOURCES: Datasets, I've access to clusters/servers ||
TIMELINE: As with my every otehr project, we shall discuss a timeline: deadline, milestones and deliverables that goes togehtr
BID: I've bid for reading the papers, and proposing an idea. If you wish the papers to be thorughly studied, document it, it also includes in the charges, apart from proposal, More specifically, we shall divide it into 3 or 4 parts: with paper material delivery (sessions ppt), final proposal (another discussion, session), and framework roughly (decidedly)
DEADLINE: Possibly, before April 4th
About me: I work as research assistant at computer vision and cognitive sciences lab.
Thank you!