CNN-BASED SYSTEM FOR BRAIN TUMOR DETECTION

Abstract

ABSTRACT A system (100) for brain tumor detection, comprising: a plurality of medical imaging sensors configured to collect real-time imaging data of a patient's brain; a communication module configured to upload the real-time imaging data from the medical imaging sensors to a control module; a control module comprising a processor and a Convolutional Neural Network (CNN) module, wherein the CNN module is configured to analyze the real-time imaging data to detect brain tumor patterns; a user interface configured to display the analysis results from the CNN module, allowing for real-time monitoring and adjustment of diagnostic parameters.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of medical technology and, in particular, to a system for brain tumor detection using a Convolutional Neural Network (CNN) algorithm to enhance accuracy, efficiency, and early diagnosis in medical practices.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Early and accurate detection of brain tumors is crucial for effective treatment and improved patient outcomes. Traditional diagnostic methods often rely on manual image interpretation , Claims:WE CLAIM:
1. A system (100) for brain tumor detection, comprising:
a plurality of medical imaging sensors configured to collect real-time imaging data of a patient's brain;
a communication module configured to upload the real-time imaging data from the medical imaging sensors to a control module;
a control module comprising a processor and a Convolutional Neural Network (CNN) module, wherein the CNN module is configured to analyze the real-time imaging data to detect brain tumor patterns;
a user interface configured to display the analysis results from the CNN module, allowing for real-time monitoring and adjustment of diagnostic parameters.

2. The system (100) as claimed in claim 1, wherein the plurality of medical imaging sensors includes one or more of MRI scanners, CT scanners, and PET scanners.

3. The system (100) as claimed in claim 1, wherein the communication module utilizes communication protocols including Wi-Fi, Bluetooth, and Ethernet for data transmission between the medical imaging sensors and

Documents