Automatic lung tumor segmentation from CT images
Principal Investigator
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1179
Initial CDAS Request Approval
Jan 2, 2024
Title
Automatic lung tumor segmentation from CT images
Summary
Medical imaging analysis plays a crucial role in cancer diagnosis and treatment. This project aims to develop an automatic lung tumor segmentation system that provides efficient and accurate lung tumor segmentation results through computed tomography (CT) images. The system will utilize deep learning techniques, particularly Convolutional Neural Networks (CNNs), to enhance doctors' interpretation and diagnosis of CT images of patients' lungs.
Aims
1. Automatic segmentation of lung tumors patient's lungs.
2. Improve segmentation accuracy
3. Performance evaluation and improvement
Collaborators
none