RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans
3区 物理与天体物理
Q1 Engineering
引用次数: 0
Abstract
A tumor is an abnormal growth of cells, either cancerous or benign, that develops in an organ. Early detection and segmentation of brain tumors are crucial for effective treatment, but manual analy...RobU-Net：一种用于核磁共振成像扫描的启发式鲁棒多类脑肿瘤分割方法
肿瘤是指器官中癌细胞或良性细胞的异常生长。脑肿瘤的早期检测和分割对有效治疗至关重要，但人工分析脑肿瘤的准确率却很低。
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来源期刊
Waves in Random and Complex Media
物理-物理：综合
自引率
0.00%
发文量
677
审稿时长
3.0 months
期刊介绍：
Waves in Random and Complex Media (formerly Waves in Random Media ) is a broad, interdisciplinary journal that reports theoretical, applied and experimental research related to any wave phenomena.
The field of wave phenomena is all-pervading, fast-moving and exciting; more and more, researchers are looking for a journal which addresses the understanding of wave-matter interactions in increasingly complex natural and engineered media. With its foundations in the scattering and propagation community, Waves in Random and Complex Media is becoming a key forum for research in both established fields such as imaging through turbulence, as well as emerging fields such as metamaterials.
The Journal is of interest to scientists and engineers working in the field of wave propagation, scattering and imaging in random or complex media. Papers on theoretical developments, experimental results and analytical/numerical studies are considered for publication, as are deterministic problems when also linked to random or complex media. Papers are expected to report original work, and must be comprehensible and of general interest to the broad community working with wave phenomena.
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