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This is first phase and unofficial implementation of the DDPG system for brain interactive segmentation.

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The First Phase and Implementation of Interactive Segmentation

Proposed Method: DDPG for Interactive Segmentation

The objective of this PhD proposal is to develop a Reinforcement Learning with Human Feedback (RLHF) method aimed at identifying errors in baseline models, such as the U-Net baseline. The identified errors will be used to generate prompts for the Segment Anything Model (SAM). Below is a prototype of the proposed method. Alt text

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This is first phase and unofficial implementation of the DDPG system for brain interactive segmentation.

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