MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641060177 A) filed by Dayananda Sagar University on May 12, 2026, for Aethermind: Interpretable Multimodal Mental Health Analysis System.
Inventors include Sushma Ds; A Ranjini; Aishwarya K; Namyapriya D; Shalini K S; Archita Bhattacharyya; Arji Jethin Naga Sai Eswar; Aluru Bala Karthikeya; Ullas S; and Affan Ahmed Shariff.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTIt^CT Q-Neuro is a reliability-driven, hybrid diagnostic framework designed for four-class brain MRI classification (glioma, meningioma, pituitary tumor, and no tumor), with a strong emphasis on robustness, interpretability, and clinical usability. The pipeline begins with heuristic out-ofdistribution (OOD) screening to identify and filter anomalous or low-confidence inputs, ensuring that only clinically relevant data proceeds through the system. Subsequently, automated region-of-interest (ROI) extraction isolates salient brain regions, reducing noise and improving downstream model focus, A ResNetl 8-based deep learning backbone performs . primary classification, capturing hierarchical imaging features. This prediction is further enhanced through a four-qubit variational quantum circuit (VQC) refinement module, which models complex feature interactions and contributes to improved decision sensitivity in challenging cases. For spatial precision, the system integrates U-Net-based segmentation to accurately delineate tumor regions, while Grad-CAM visualization generates interpretable heatmaps that highlight diagnostically significant areas, thereby supporting clinician trust and transparency. A conservative decision fusion strategy aggregates outputs from classification, quantum refinement, and segmentation stages to minimize false positives and false negatives, prioritizing diagnostic reliability. The entire framework is deployed as a web-based prototype, enabling scalable, accessible, and efficient decision support for brain tumor diagnosis.
Disclaimer: Curated by HT Syndication.
