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I'm running a unet model on x-ray for lung region segmentation, the model seems to work well, but my dataset is not that good looking, I'm obtaining results with some missing parts as in here:

My question is: is there any cv operator I can preform to smoothen it a little more to obtain something like this:

Thanks.

Generate a list of all appointments in alphabetical order by patient name and by latest date and time for each patient. The list should also include the doctor scheduled and the receptionist who made the appointment.

This is my query so far:

The project : Find out if a breast x-ray contains a benign or malignant tumor with the help of a convolutional neural network.

This is the link for the github repository : https://github.com/aubreyDKR/CNNBreastCancer.git

You can see the project on the file : ImageLearningProject.ipynb The latest version is on the branch : aubrey

The problem : we can see in the part "Evaluate Model" that there is something wrong with the model accuraccy because it doesn't improve with the times. Why ? How to resolve this ?

If other informations are needed. Tell it to me.

Update : After some advice I made the next update.

1. Add Batch Normalization layers and Activation layers.
2. Change the loss fonction from . . . to Binary Crossentropy. So the last dense layer was changed from softmax to sigmoid.
3. The file names are no more printed to have a cleaner notebook.

Results : We can see some changes to the model accuracy plot. But always look like something is wrong. I think that the model should be better for each epochs.

I'm working on a fun random ICAO translator program and I'm almost done with it but I'm having one little problem. How do I go about splitting a string by each character? For example the output I want is; The word mike translated in the ICAO alphabet is:

m: Mike

i: Indiana

k: Kilo

e: Echo

So far I just get; The word mike translated in the ICAO alphabet is:

Mike

Indiana

Kilo

Echo

Apparently my post is mostly code and I must add more detail so I'm adding this sentence to hopefully satisfy the requirements. Also the translation should be right on top of each other and not one extra space down. I'm having problems with that and idk how to fix that.

My problem is as follows: I am modeling a hospital department, specifically the Radiology department which consists of X CT rooms Y X-ray rooms etc. Is there any way to set these values ( X and Y) before the simulation starts? With a slider or a similar button in the anylogic interface? I know how to do it at run time, but I don't know how to set these parameters before it starts.

Thanks

I am trying to loop through a subnode while looping through another node. The code I am using is (a lot of processing code not relevant to the question removed).

I have a dataframe of patients in the format of one line per chest x-ray. My columns include a specific measurement on the chest x-ray, the date of the chest x-ray, and then several additional columns that are the same for a given patient (like final outcome).

For example:

I'm doing this kaggle contest where i have to classify this x-ray in 3 category bacteria,virus or normal.
I don't get why it keep me give the same error.
Images are rgb, and output shape is (none,3) so I really don't get where the thing with shape (none,1) is.

Can someone help me?

Here is my code: import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers

I have a patient model. Each patient can have several "Medical Records" where choices come from models like "BodyPart" or "Medicin":