Evaluate LORA finetuning for detection guided segmentation in CT images

Type: MA thesis

Status: running

Supervisors: Sheethal Bhat, Melika Qahqaie

Evaluation of LoRa tuning of grounded segmentation using MedSam. We will investigate if we can reduce the training parameters for optimal detection and segmentation performnce using SOTA methods and training paradigms on an Abdominal RSNA dataset.