rogov-dvp / medical-imaging-matching Goto Github PK

Submit feedback into group_evaluation.md file for all three Woo Woo groups' presentations.

Write up the slide for non functional requirements.

A detailed list of non-functional requirements and environmental constraints for the overall project.

Write the model section

Submit feedback into group_evaluation.md file for all three checklik groups' presentations.

Submit feedback into group_evaluation.md file for all three TMI groups' presentations.

Mammography images taken from Kaggle to build initial backbones of the model.

If your client is flexible on the tech stack: provide at least 3 options and document all pros and cons for each before letting your client make a choice

Assign Features to each Milestone.

Create a Data Flow Diagram Level 0 on our Machine Learning model. This is for the presentation slides.

An overview of your system architecture presented as a data flow diagram (DFD), at both levels 0 and level 1, along with accompanying descriptions for each diagram. You must be very specific in this DFD so to design it in a way that supports an incremental and iterative development process. You can read an intro on DFDs and adopt its notation. Remember that a process does something, so be sure to use a verb to label your processes. In describing your DFD, highlight clearly which components will be delivered for each of the following milestones: peer testing #1, peer testing #2, and the final product. You may additionally wish to include extra components and label them as bonus features that may be developed if time allows.

Write up the ways we will be testing our model.

An explanation of how you will test the developed features of your system (in accordance with the tech stack chosen) as well as the method you will adopt to ensure continuous integration. Don't just use a technical term to describe the method; write a few sentences to explain the tools and techniques that will be involved. Read up on regression testing, and develop a feasible plan that ensures when new code is added to your project that your project didn't break anything that was working before.

Write up the functional and non-functional requirements

Submit feedback into group_evaluation.md file for all three LIMS groups' presentations.

Create the DFD and it's supporting text

Submit feedback into group_evaluation.md file for all three cyclops groups' presentations.

Research the topic to help write about the models.

Update Readme with project description and team information.

Submit feedback into group_evaluation.md file for the other MIM groups' presentations.

Define features for the project.

Create a Data Flow Diagram Level 1 for our Machine Learning model. This is for the presentation slides.

An overview of your system architecture presented as a data flow diagram (DFD), at both levels 0 and level 1, along with accompanying descriptions for each diagram. You must be very specific in this DFD so to design it in a way that supports an incremental and iterative development process. You can read an intro on DFDs and adopt its notation. Remember that a process does something, so be sure to use a verb to label your processes. In describing your DFD, highlight clearly which components will be delivered for each of the following milestones: peer testing #1, peer testing #2, and the final product. You may additionally wish to include extra components and label them as bonus features that may be developed if time allows.

Submit feedback into group_evaluation.md file for all three AGMEETING groups' presentations.

Write part of the section of the report: Answers for evaluation questions

Research the triplet-loss-function

Write the tech stack

Write up the functional requirements

A detailed list of functional requirements for each milestone. Be sure to separate out the functional requirements for each system component based on the target milestone.

Write up the tech stack for our project.

Identify the tech stack you plan to use. If this is the tech stack required by your client, then state that in the document. If your client is flexible, you must indicate a clear rationale of the choice made. This means an extra page with a table of at least 3 options and document all pros and cons for each before letting your client make a choice.

How can we use transfer learning to, profit from available already trained nets and weights

Build a Gantt Diagram with concrete deadlines for Milestone 1

Write up the presentation slides' for project description.

A high-level description (about one paragraph) of the software you are building and who the target user groups are. Separately, explain how each user group is expected to use the software differently. (Recall that in order for two users to be considered as being in two different user groups, they must use the system differently either via a functional or non-functional system requirement.)

Set up the template of the PowerPoint slides and the titles ready.

Know who your user groups are, and be able to think about how they each want to use the system differently

Write the section of the report: Testing

Write the section of the report: CI/CD

This is a testing issue. May your weekend be free!

Create the Gantt Chart

Identify Possible Extra Features if time allows.

Set up github issues

Research the DFD to help create a DFD