280 - Custom object segmentation using StarDist library in python

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Code generated in the video can be downloaded from here:

All other code:

This video tutorial explains the process of training your own StarDist model for object segmentation. It walks you through the process of importing training images and corresponding masks, training a model, and segmenting (any size) images using the trained model.

Warning: You may find this approach more efficient compared to U-net or Mask-RCNN
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Thank you for the intro to StarDist! A great tool for our data science toolbelt!

willberger
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Thank You professor, and thanks for using Jupyter notebooks too, great channel!

brunospfc
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Thank you for uploading such useful content. I am still curious about 42!

pranaynirapure
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Sir we are very grateful to you for bringing these topics. One thing I would like to bring into your notice that we the remote sensing students who deal with satellite imagery we have no idea how to create the patch and mask for U-net segmentation as everyone works with available dataset and satellite imageries are geoTiff files. It would be very beneficial if you come out with this topic and also taking a specific objective like segmenting the water bodies or landslides in an satellite imagery using Unet algorithm. Thank you

rahulds
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Hi sir, first i would like to appreciate for your nice explanation in line with any of your tutorials to have a basic understanding of different varieties of deep learning algorithms. so i would like to ask to make video on " Multi task deep learning approach for semantic segmentation" or is there any video tutorial you would like to refer it. Once again, Thank you so much !!

tensaenigussie
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What if there are overlapping nuclei/cells in the mask we are using for training? Shouldn't we somehow be able to draw their contours (till the point that we can see them) and label them ?
Or does the training concern solely the detection of what is a nucleus/cell and what not ? I was wondering whether segmentation could be further improved if it was somehow part of the training procedure.

aggelosdidachos
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Thanks for the videos you're updating... It's so useful for my research!
I would appreciate it if you share the file of the code because I cannot find it in your GitHub repository

manuelflores
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Hi! What is the purpose of the masks in the dataset used? Because my dataset doesn't have masks. I'm a high school student working on the SipaKmed cervical cancer dataset and I'm having issues segmenting the Whole slide images. I would really appreciate your help

emmanuelailok
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Hi, Can you please explain what is the purpose behin augmentation in this case?

ranimsaidi
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Hello, is there any way I can access your dataset (the 256x256 version). I'm trying to generate the patches but it's not working with those.

BismaHaroon-hxqo
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Sir I want to segment the microstructure of deformed grains using machine learning. Please help me. My criteria for segmentation is based on shape, size and pixel density of grains and kernel average misorientation.

AKASHKUMAR-jzyv
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I would like to use Radiomics data of brain tumor mass for machine learning.
How can I use a mask file to extract grayscale data of the mass from MRI images?

uqixovi
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Thank you for your excellent tutorial videos! I recently followed your tutorial and successfully trained a model using my images. However, I'm having trouble converting the output files to a format compatible with QuPath. I have the following files in my output folder: weights_last.h5, weights_best.h5, and config.json. Do you have any suggestions on how to proceed?

kaaziwa
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Can this custom model be used in Qupath?

a.akhrif
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Thank you for your efforts! Is it possible to extract the count of the segmented parts and their area?

FMH
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Can you please tell how to save a stardist model so it can be used later, since you said you imported a model which you had trained for 150 iterations. Also, thanks for the video!

rakshitrohan
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Great video sir kindly share the google colab file of this video and previous video, which are not available on your GitHub repository.

RafiKhalil
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Hi sir, I was trying to implement your video 204. Everything was fine in spyder IDE but when I tried it in COLAB with the larger dataset the images and masks were not aligning. I am clueless why this is happening.

ajay
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Thank you so much for this video. but i am facing a problem when i run the cell five it gives an error "list index out of range" how to solve this. anyone please help.

m_awaispak