MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202541117881 A) filed by Peri Institute Of Technology, Chennai, Tamil Nadu, on Nov. 27, 2025, for 'deep learning techniques for satellite image classification.'
Inventor(s) include Dhanapal S; Dhanush P; Ajay G; Akash M; Chandramoulee S; and Ajaysharan S.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "Brain tumors, such as gliomas, meningiomas, and pituitary tumors, pose significant diagnostic difficulties owing to their heterogeneous structural features, variations in anatomical localization, and diverse degrees of malignancy. Radiologists usually have to manually read MRI scans in order to get an accurate diagnosis and clinical assessment. This process takes a lot of time and is based on their own judgment. I This invention presents GliMenPit-YOLO, an advanced automated framework for detecting and assessing brain tumors, developed using a modified YOLOvlO object-detection architecture. The system automatically finds tumor areas in MRI images, sorts them into three main tumor types (glioma, meningioma, and pituitary), and estimates the size of the tumors based on spatial data from bounding boxes and MRI resolution settings. The system improves the accuracy of diagnoses, cuts down on the time it takes to assess a patient, and helps doctors make decisions by combining real-time detection, classification, and clinical measurement into a single deeplearning pipeline. The invention seeks to provide radiologists with an efficient, dependable, and high-performance automated system for the early detection and treatment planning of brain tumors."
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