Device for envisaging lung cancer and categorising its subtype from histopathological images, comprises a feature extraction module that extracts features from histopathological images, through an efficientnet-B6 technique, with the extracted features from the feature extraction module
	SURESH A T; GOVINDARAJ P; SAMPATH P; NATARAJAN S
	2025-03-31
专利权人	UNIV SASTRA DEEMED (UYSA-Non-standard)
申请日期	2025-03-31
专利号	IN202541031611-A
成果简介	NOVELTY - Device comprises a feature extraction module that extracts features from histopathological images, through an efficientnet-B6 technique, with the extracted features from the feature extraction module being transferred to a hypergraph construction module, where hypergraph construction module constructs a hypergraph, based on the features extracted from the feature extraction module, by utilizing k-nearest neighbors of each feature vector with Euclidean distance as a distance function, were each vertex represents an image in the histopathological images and the relationships between the images are captured as hyperedges. The device also comprises a classification module that envisages lung cancer and categorizes its subtype, through a two-layer hypergraph convolution neural network technique, by generating degree matrices and weight matrices that captures structural properties and relationships among different vertices and hyperedges from the hypergraph. USE - Device for envisaging lung cancer and categorising its subtype from histopathological images. ADVANTAGE - The device is constructed in a simple and cost-effective manner, and it is efficient, non-invasive with high accuracy and precision, and enables personalised treatment strategies tailored to the specific characteristics of each lung cancer subtype.
IPC 分类号	A61B-005/024 ; C12Q-001/6886 ; G06Q-030/0251 ; G06V-020/69 ; H01L-021/02
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/13279
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV SASTRA DEEMED (UYSA-Non-standard)
推荐引用方式 GB/T 7714	SURESH A T,GOVINDARAJ P,SAMPATH P,et al. Device for envisaging lung cancer and categorising its subtype from histopathological images, comprises a feature extraction module that extracts features from histopathological images, through an efficientnet-B6 technique, with the extracted features from the feature extraction module. IN202541031611-A[P]. 2025.

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