1. U24 Duke DICOM tool

This is a MATLAB-based tool for converting 3D image volumes from NifTi format to DICOMs. This repository contains a GUI which can be used to assign values to common DICOM fields. It also contains functions which can be used in your own code to streamline workflows.

2. CODE FOR TUMOR SEGMENTATION AND RADIOMICS ANALYSIS

This repository contains example code from the paper on preclinical cancer imaging titled “MRI-based Deep Learning Segmentation and Radiomics of Sarcoma Tumors in Mice.”

3. DEEP LEARNING LUNG NODULE DETECTION 

This repository contains methods for training a V-net to detect lung nodules in micro-CT images of mice as described in  our paper  titled:  Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning  Matthew D. Holbrook; Darin P. Clark; Rutulkumar Patel; Yi Qi; Alex M. Bassil; Yvonne M. Mowery; Cristian T. Badea .Tomography 2021, Volume 7, Issue 3, 358-372. The data presented in this work are available by request at https://civmvoxport.vm.duke.edu