BRAIN TUMOUR DETECTION SYSTEM

Abstract

ABSTRACT A brain tumour detection system (100), the system (100) comprising: an input module (102) comprising a database stored with a plurality of magnetic resonance imaging (MRI) images; a processor (104) communicatively coupled with the input module (102), wherein the processor (104) is configured to: receive the plurality of MRI images from the input module (102), analyze the plurality of MRI images using at least one artificial intelligence (AI)/machine learning (ML) model, train the at least one AI/ML model to detect a brain tumour; and a user interface (106) configured to enable a user to provide MRI images of a patient in real-time, wherein the processor (104) is configured to detect the brain tumour using the trained at least one AI/ML model, and wherein the processor (104) is configured to transmit an alert notification on the user interface (106) to notify the user regarding the detected brain tumour.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of medical imaging and, in particular, to a brain tumour detection system designed to enhance diagnostic accuracy through advanced data analysis and user interaction features.
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] Conventional methods for brain tumour detection predominantly rely on visual inspection of magnetic resonance imaging (MRI) images by medical professionals. These methods are subject to human error and can lead to mi , Claims:1. A brain tumour detection system (100), the system (100) comprising:
an input module (102) comprising:
a database stored with a plurality of magnetic resonance imaging (MRI) images;
a processor (104) communicatively coupled with the input module (102), wherein the processor (104) is configured to:
receive the plurality of MRI images from the input module (102),
analyse the plurality of MRI images using at least one artificial intelligence (AI)/ machine learning (ML) model,
train the at least one AI/ML model to detect a brain tumour; and
a user interface (106) configured to enable a user to provide MRI images of a patient in a real-time,
wherein the processor (104) is configured to detect the brain tumour using the trained at least one AI/ML model,
wherein the processor (104) is configured to transmit an alert notification on the user interface (106) to notify the user regarding the detected brain tumour.

2. The system (100) as claimed in claim 1, wherein the at least one AI/ML model includes but not li

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