MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049567 A) filed by Srinivasa Ramanujan Institute Of Technology; Dr. K. Maheswari; M. Akhila; A. Bala Krishna; and K. Devi, Ananthapuramu, Andhra Pradesh, on April 18, for 'acute lymphoid leukemia classification using multimodal cnn driven binary classifier.'
Inventor(s) include Srinivasa Ramanujan Institute Technology; Dr. K. Maheswari; M. Akhila; A. Bala Krishna; and K. Devi.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Acute Lymphoid Leukemia Classification using Multimodal CNN driven binary Classifier Abstract: The present invention discloses a multi-modal Convolutional Neural Network (CNN)-driven binary classification system for automated detection of Acute Myeloid Leukemia (AML) from blood microscopic images. The proposed system integrates advanced image preprocessing, region of interest (ROI) localization, hybrid feature extraction, and machine learning-based classification to enable accurate differentiation between normal and abnormal white blood cells (WBCs). The framework incorporates RGB to CMYK color conversion, Otsu thresholding, morphological refinement, C-means clustering, Local Ternary Pattern (LTP) texture analysis, Gray Level Co-occurrence Matrix (GLCM) spatial feature extraction, and CNN-based deep feature fusion. The hybrid feature vector is processed using a Support Vector Machine (SVM) classifier for binary categorization. The invention provides an automated, computationally efficient, and clinically applicable system suitable for real-time leukemia screening and diagnostic support."
Disclaimer: Curated by HT Syndication.
