Aggregating preprocessed ultrasound images derived from the Digital Database of Thyroid Images (DDTI) for medical image analysis. The collection focuses on thyroid nodule segmentation to assist in the development of computer-aided diagnosis systems.
Use Cases
- Train a U-Net or similar architecture for thyroid nodule segmentation using the preprocessed ultrasound images
- Benchmark image denoising and contrast enhancement techniques on thyroid ultrasound data
- Develop automated measurement tools for calculating nodule dimensions from segmented masks
Strengths
- Derived from the Digital Database of Thyroid Images (DDTI) repository
- Contains preprocessed ultrasound images formatted for segmentation architectures
- Focuses on the identification and delineation of thyroid nodules