Thyroid Nodule Detection and Region Estimation in Ultrasound Images: A Comparison between Physicians and an Automated Decision Support System Approach.
Elmer Jeto Gomes AtaideMathews S JabarajSimone SchenkeManuela PetersenSarvar HaghghiJan WuestemannAlfredo IllanesMichael FriebeMichael Christoph KreisslPublished in: Diagnostics (Basel, Switzerland) (2023)
The evident variability among physician evaluations underscores the need for supplementary decision-making tools. Given its consistency, the CAD offers potential as a reliable "second opinion" tool, minimizing human-induced variabilities in the critical diagnostic process of thyroid nodules using US images. Future integration of such systems could bolster diagnostic precision and improve patient outcomes.
Keyphrases
- primary care
- deep learning
- decision making
- convolutional neural network
- endothelial cells
- high glucose
- optical coherence tomography
- coronary artery disease
- emergency department
- magnetic resonance imaging
- diabetic rats
- induced pluripotent stem cells
- real time pcr
- human health
- computed tomography
- oxidative stress
- stress induced
- sensitive detection