Objective: Integrate an automated tumor segmentation feature into PUMA's existing pipeline that operates on multiplexed PET images to accurately identify and delineate tumor regions.
Description: Enhance PUMA to automatically segment tumor regions within the RGB multiplexed image generated from individual PET tracer images.
Utilize LION to ensure accurate and reliable tumor delineation.
Output segmented images highlighting tumor regions for further analysis.
Rationale: Automated tumor segmentation in multiplexed images will streamline the analysis process, providing a solid foundation for subsequent quantitative evaluations of tracer contributions within tumors.
Objective: Integrate an automated tumor segmentation feature into PUMA's existing pipeline that operates on multiplexed PET images to accurately identify and delineate tumor regions.
Description: Enhance PUMA to automatically segment tumor regions within the RGB multiplexed image generated from individual PET tracer images.
Rationale: Automated tumor segmentation in multiplexed images will streamline the analysis process, providing a solid foundation for subsequent quantitative evaluations of tracer contributions within tumors.