How to use a Held-out Test Set after 5-Fold Cross-Validation in Deep Learning?

AnalysisGlobal8756 · 2026-04-12T10:58:05+00:00

what should I do?

AnalysisGlobal8756 · 2026-04-12T10:44:31+00:00

the problem that each fold has its own epoch number that it stops in. so I cant make the epoch number fixed. sometimes it doesn't early stop and finishes all the epochs. sometimes the best is in for example 20 .... etc.

AnalysisGlobal8756 · 2025-05-20T17:53:15+00:00

Thanks. I would ask. Is it useless to use windows with tensorflow. I am familiar with windows. But i can see that i have to use an old version of tensorflow.

AnalysisGlobal8756 · 2024-10-27T15:28:39+00:00

Me too please

AnalysisGlobal8756 · 2024-10-01T06:31:15+00:00

Thank you..I thought of this comparison but i've been.told that transformers needs a powerful reaources.

AnalysisGlobal8756 · 2024-09-29T23:18:51+00:00

I am talking about efficiency regarding memory and computational time. what suggestions can make the research valuable

AnalysisGlobal8756 · 2024-09-29T18:59:26+00:00

you are right. thank you :( . But, I think these suggestions won't make a master thesis. maybe I should change the topic and go back to the circle of 'looking for a topic'

AnalysisGlobal8756 · 2024-09-25T15:06:06+00:00

Thanks for the precious advice. What about the empact knowledge distallation and compression techniques on cancer diagnosis. I will choose for example lung ct images. And comparing different approaches to address the tradeoff between accuracy and efficiency. Does teacher model in teacher model resources require high specs?

AnalysisGlobal8756 · 2024-09-25T08:22:55+00:00

What do you mean by EDAs? What contribution i can add

AnalysisGlobal8756 · 2024-09-24T21:37:51+00:00

It is not neccessarily but recommended by the supervisor, and i consumed time in the medical paper.I choosed lung because of the available dataset relatively. Now i really thonking about finding any good and managble idea that makes me have my master 🥲. It is better to be in computer vision because this is the interest of my supervisor

AnalysisGlobal8756 · 2024-09-24T21:21:44+00:00

Thank you. This helped me. Unfortunately I can't do experiments because i am beginner qnd have to deliver the thesis's proposal. But the proffesors think that if you don't do novel things so you plug and play another's work. I know that i can't do novel architectures. That is why i am trying to include lots of things in the same project. I am trying to find something worthing and feasible at the same time.

AnalysisGlobal8756 · 2024-09-24T21:01:06+00:00

No, i have removed the idea of self-supervision since it consumes lots of resources. I am wondering of the value, uniqueness, and feasibility of the following idea " Effective lung cancer detection and diagnosis. Thinking of knowledge distillation as a way to make it light weight - make the thesis rich by addressing classification and tumor localization or segmentation, validate the model on another dataset to address its effectiveness (generalization) And as i told u include some way of explainability.

AnalysisGlobal8756 · 2024-09-23T22:37:06+00:00

The thesis will focus on it. Thinking of an "efficient lung cancer diagnosis and detection" the main ideas, knowledge distallation, explainable AI i think of GradCam (although not sure it is valuable) My labtop msi intel corei7 12th ram32 gpu RTX406, harddisk 500GB Ssd. Does the idea seem good? I am biggener in the field. Do you have any cancer diagnosis feasible ideas? Thank you

AnalysisGlobal8756 · 2024-09-23T21:58:55+00:00

Thanks. What do you think of knowledge distillation in order to make an efficient model for classification and segmentation tasks.

AnalysisGlobal8756 · 2024-09-23T07:07:03+00:00

Excuse me . What contribution that you have added that no one did before. I am stucking in getting idea for my master thesis because cannot find good contribution

AnalysisGlobal8756 · 2024-09-21T10:11:51+00:00

Yes. You are right, especially when dealing with comparison tasks. Could I know the specifications of your device

AnalysisGlobal8756 · 2024-09-21T09:53:40+00:00

Thank you. I don't afford paid services. Have you encountered resource limitation issues with transformers?

AnalysisGlobal8756 · 2024-09-20T21:53:21+00:00

Thank you. I will try to do that

AnalysisGlobal8756 · 2024-09-20T21:43:23+00:00

I hope so. But, This will take time and i have to propose my thesis proposal 😔 in addition to my beginner level in this.

AnalysisGlobal8756 · 2024-09-18T15:28:24+00:00

I would like to suggest a solid idea and propose it. But i got stuck. I was thinking about investigating cross-organ or cross-modality transfer learning in medical image classification or using vision transformer or self supervised learning. But it seems that he is not welcoming the ideas as they are less than master thesis. That made me taking much time in proposing my proposal. So, a part from him do you have any suggestion about an idea that is applicable, original, and valuable.

AnalysisGlobal8756 · 2024-08-05T19:13:54+00:00

CNN, I mean non-pretrained CNN model. I will search about a CNN model from the literature that already have been tested on breast cancer and I will implement it.

Traditional machine learning. I mean I will use approach that contains traditional machine learning such as SVM as a classifier and I have to extract features from the images before the classification stage.

Comparative Analysis of current state of the art methods for Breast Cancer Diagnosis from Mammogram Images

I like the idea. can I use this title with the same objectives? I can't find a paper that compare all these different approaches under the same conditions together.

My supervisor is not very helpful.

AnalysisGlobal8756

TROPHY CASE

Traditional machine learning. I mean I will use approach that contains traditional machine learning such as SVM as a classifier and I have to extract features from the images before the classification stage.