Liver Segmentation Using UNET Model
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Liver Segmentation Project Using UNET Model
I am looking for a freelancer who can help me with my project to segment liver images using a UNET model. The ideal candidate should have experience in medical image processing and machine learning.
Image Type: CT Scans
I have CT scans of liver images that need to be segmented using a UNET model.
Preprocessing Required: Yes
I require preprocessing of the images to improve the segmentation accuracy.
Output Format: Colored Mask
The desired output format for the segmented liver images is a colored mask.
Skills and Experience:
• Experience with UNET model for image segmentation
• Expertise in medical image processing
• Knowledge of machine learning algorithms
• Proficient in Python programming language
• Familiarity with CT scan images and DICOM format
Please let me know if you have any questions or need further clarification.
Projektin tunnus: #36725548
I will complete you project for free. I need only good reviews. Project completion is 100 percent gaurenteed. Please see my profile for confirmation of my skills.
10 freelanceria on tarjonnut keskimäärin ₹3945 tähän työhön
Hello, I am very familiarized with the requirements of your projects. And it can be done really fast. Let's connect over chat to discuss more on this. Thanks