Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging | Synapse
March 3, 2026
Handcrafted vs. Deep Radiomics vs. Fusion vs. Deep Learning: A Comprehensive Review of Machine Learning -Based Cancer Outcome Prediction in PET and SPECT Imaging
Puntos clave
Machine learning applications in PET and SPECT imaging improve cancer outcome predictions significantly.
The review evaluates various methodologies, including handcrafted and deep learning approaches, indicating their respective efficiencies.
Analysis provides insights on deep radiomics and fusion techniques, emphasizing advancements in cancer diagnostics.
Findings suggest the integration of these methods may enhance prognosis accuracy, yet further exploration is needed for clinical validation.