hume

Last seen: 2 years ago | Active since 2023

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how can I handel imbalanced datset of images folders to apply for traning?
I have two classes of image datset with folder 1 and folder 2.i want to apply random oversampling over the minority class to mak...

3 years ago | 1 answer | 0

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Question

I am getting the same processed image result from easch iteration of the loop.I want to get the respective processed image from each iteration of the loop.
I have an ultrasound image consisting of labeles.I have removed the labeles using the code below.however i got the same processe...

3 years ago | 1 answer | 0

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Question

how to convert a.mat file in to png?
I got a B-mode fatty liver ultrasound images from kaggle dataset.here is the file path for the dataset.I want to convert the im...

3 years ago | 1 answer | 0

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Question

How to convert a phython code for classification of images of ultrasound with fatty liver and normal liver in to matlab code
I am using an ultrasound images datasets to classify normal liver an fatty liver.I have a total of 550 images.I do have 333 ima...

3 years ago | 2 answers | 0

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Question

I am getting 100% accuracy at the begining of the epoch for both traning and validation een if i use different dataset or both traning and validation.
I am using an ultrasound images datasets to classify normal liver an fatty liver.I have a total of 550 images.every time i trai...

3 years ago | 1 answer | 0

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Question

I am working on to pre process my ultrasound images using loop.But i couldnt save the output of the preprocessed images from the loop.
myDir = uigetdir('*.m'); %gets directory myFiles = dir(fullfile(myDir,'*.png')); %gets all png files in struct for k = 1:lengt...

3 years ago | 1 answer | 0

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Question

i have an ultrasound image i want to remove the labeles on the image by using y=mx+b line to convert the pixeles above the line to black.how can i do it?
filename = '181.png'; img= imread(filename); gray = im2gray(img); for i=1:434 for j=1:634 if(j < (0.77i+235))...

3 years ago | 1 answer | 0

1

answer