43711451_HipMRI2D_AttentionUNET

[CleoBriez]

This pull request attempts to process 2D HipMRI Prostate data to be trained by an Attention U-Net and then tested and visualised using predictive modeling. More details in the README file.

Please let me know if I seem to be missing something.

[wangzhaomxy]

There is no report and no experimental evidence provided. This is an unfinished project.

[CleoBriez]

There is no report and no experimental evidence provided. This is an unfinished project.

I'm so sorry, I just realised I literally have 5 commits that didn't get added to the pull request.

is there anything I can do at this point?

[CleoBriez]

I have the commits with timestamps. If there's anything I can do to add it in with the up-to-date changes. Please let me know

[CleoBriez]

Hey, I'm so doubly sorry. I just check my files it's literally just that my commits past the first evidence I uploaded didn't get saved due to being 120MB and literally all the commits past that point just didn't get pushed.

I had the report uploaded to Blackboard at least. I can provide literally anything required if you're willing to take anything from what I had at time of submission.

[wangzhaomxy]

Hi there,

Sorry, this situation is beyond the scope of what a tutor can handle. My suggestion would be to reach out to your course coordinator Shakes to see if there’s anything that can be done.

Zhao

[CleoBriez]

I think I have managed to fix the merge error I was having and have reached out to EdStem as well as Shakes

[CleoBriez]

The file that was too large has been removed and linked here: https://1drv.ms/u/c/3c907cdb67f98515/ERAyUneJKppAiv3ZthRVG98BJLXx4qc_Hy7mGyG2szSbZQ?e=PMMwEL

[gayanku]

@shakes76

[wangzhaomxy]

<This is an initial inspection, no action is required at this point.>

File Organizing: Well-organized files.

Problem Solving:

• The algorithm solves the problem appropriately. However, no report and evidence supporting a successful experiment.
• Accuracy in testing dataset (Dice): No results reported.

Model and functions:

• It correctly uses PyTorch to construct the improved UNet 2D models and functions.
• NO data augmentation.
• Properly use the train/validation/test datasets.

Code design: Good.

Code comment and docstring:

• Good code comments
• Good function docstrings
• Good header block

Difficulty: Normal.

Additional Comments:

• Good commits
• The overly simplified report indicates that the project was ultimately unsuccessful

[gayanku]

Marking

Good/OK/Fair Practice (Design/Commenting, TF/Torch Usage)
	No design and implementation.	-2
	Spacing and comments.
	Header blocks.
Recognition Problem
	OK solution to problem.	-3
	Driver Script present.
	File structure present.
	Good Usage & Demo & Visualisation & Data usage.
	Module present.
	Commenting present.
	No Data leakage found.
	Difficulty : Normal. Normal -ImprovedUnet2D	-5
Commit Log
	Good Meaningful commit messages.
	Good Progressive commits.
Documentation
	Readme :Acceptable. No results	-2
	Model/technical explanation :Acceptable.	-2
	Description and Comments :Good.
	Markdown used and PDF submitted.
Pull Request
	Successful Pull Request (Working Algorithm Delivered on Time in Correct Branch).
	Feedback action require: Feedback marks possible +2 if the requested changes are made. Remove cache for merge.	-2
	Request Description is adequate.	-1
TOTAL		-17

Marked as per the due date and changes after which aren't necessarily allowed to contribute to grade for fairness.
Subject to approval from Shakes