Liver Segmentation Using UNET Model

Käynnissä Julkaistu 3 kuukautta sitten Maksettu toimituksen yhteydessä
Käynnissä Maksettu toimituksen yhteydessä

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.

Python Machine Learning (ML) Tilastotiede Deep Learning Pytorch

Projektin tunnus: #36725548

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