Fig. 9 | Scientific Reports

Fig. 9

From: Web based AI-driven framework combining multi-modal data with CNN and LLM for Parkinson’s disease diagnosis

Fig. 9

MRI processing and radiomics-based prediction workflow in the cloud-based PD platform. The interface demonstrates the end-to-end processing pipeline beginning with (i) NiFTI file upload, followed by (ii) image visualization, (iii) segmentation, (iv) brain mask generation, (v) image correction, and (vi) MRI registration. Subsequently, (vii) radiomic features are extracted and exported as a CSV file, which is then used by the integrated machine learning model to predict the presence of PD based on learned feature patterns.

Back to article page