Tumor trace system for tracking tumors with artificial intelligence, comprises image pre-processing module utilizing Total Variation noise reduction to enhance magnetic resonance imaging scan quality
	VASHISHT R; GUPTA R; CHAUHAN K; KUSHWAHA K
	2025-03-31
专利权人	KIET GROUP INST (KIET-Non-standard)
申请日期	2025-03-31
专利号	IN202511031522-A
成果简介	NOVELTY - The tumor trace system comprises an image pre-processing module utilizing Total Variation noise reduction to enhance magnetic resonance imaging (MRI) scan quality. A feature extraction module identifies key tumor characteristics. A classification module incorporates artificial intelligence (AI)-based models consisting of convolution neural network (CNN), support vector machine (SVM), MobileNetV2, and an ensemble classifier. A diagnostic reporting module provides classification results, confidence scores, and tumor region visualization. A comparative analysis module evaluates the performance of different AI models for optimized diagnosis. The classification module is trained on MRI scan datasets sourced from FigShare, Sartaj, and BR35H. USE - Tumor trace system for tracking tumors with AI. ADVANTAGE - The tumor trace system leverages artificial intelligence and image processing for faster, more accurate diagnoses. The system automates tumor classification from MRI scans, reducing reliance on manual interpretation and improving patient outcomes. By integrating pre-processing techniques to enhance image quality, the system ensures more precise tumor identification while minimizing human error. The system bridges the gap in medical expertise, particularly in areas with limited access to radiologists, making advanced diagnostic tools more accessible and efficient. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic view of the application for tumor trace system for tracking tumors with AI.
IPC 分类号	A61P-035/00 ; G01R-033/56 ; G06N-020/20 ; G06T-007/00 ; G16H-010/60
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/13275
专题	中国科学院新疆生态与地理研究所
作者单位	KIET GROUP INST (KIET-Non-standard)
推荐引用方式 GB/T 7714	VASHISHT R,GUPTA R,CHAUHAN K,et al. Tumor trace system for tracking tumors with artificial intelligence, comprises image pre-processing module utilizing Total Variation noise reduction to enhance magnetic resonance imaging scan quality. IN202511031522-A[P]. 2025.

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