Computer-implemented system for facilitating automated brain tumor detection and classification, has classification module for employing machine learning models to categorize tumor types based on extracted features
	GAUTAM A K; VERMA S; KHANUM M A; YADAV S; CHATTERJEE D
	2025-04-10
专利权人	GAUTAM A K (GAUT-Individual) ; VERMA S (VERM-Individual) ; KHANUM M A (KHAN-Individual) ; YADAV S (YADA-Individual) ; CHATTERJEE D (CHAT-Individual)
申请日期	2025-04-10
专利号	IN202531035277-A
成果简介	NOVELTY - The system has an image acquisition module for receiving MRI and computed tomography (CT) scan images. A pre-processing module applies noise reduction and contrast enhancement process. A deep learning-based feature extraction unit utilizes convolutional neural networks (CNNs) to extract spatial and textural features. A classification module employs machine learning models to categorize tumor types based on extracted features. A graph neural network (GNN) module constructs a graph representation of segmented tumor regions and captures spatial relationships between different tumor sub-regions to refine segmentation accuracy. An automated tumor segmentation module applies a hybrid CNN-graph neural network (GNN) approach, where the CNN identifies potential tumor boundaries and the GNN refines a segmentation mask based on learned spatial dependencies. USE - Computer-implemented system for facilitating automated brain tumor detection and classification using deep learning and graph neural networks utilized in field of medical imaging, artificial intelligence and machine learning. ADVANTAGE - The system facilitates integration of CNNs and GNNs, ensures high segmentation precision by leveraging local and global features, reduces dependency on manual assessment, improves diagnostic efficiency and minimizes human error. The system contributes to improved patient outcomes, early intervention and enhanced decision-making in neuro-oncology by providing an intelligent and automated solution for brain tumor detection, streamlines a diagnostic process, improves patient outcomes and enables early interventions. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a method for facilitating automated brain tumor detection and classification.
IPC 分类号	G06N-003/045 ; G06N-003/08 ; G06T-007/00 ; G06T-007/11 ; G16H-030/20
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13184
专题	中国科学院新疆生态与地理研究所
作者单位	1.GAUTAM A K (GAUT-Individual) 2.VERMA S (VERM-Individual) 3.KHANUM M A (KHAN-Individual) 4.YADAV S (YADA-Individual) 5.CHATTERJEE D (CHAT-Individual)
推荐引用方式 GB/T 7714	GAUTAM A K,VERMA S,KHANUM M A,et al. Computer-implemented system for facilitating automated brain tumor detection and classification, has classification module for employing machine learning models to categorize tumor types based on extracted features. IN202531035277-A[P]. 2025.

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