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Detection of stellates and masses in digitised mammograms

机译:检测数字化乳房X线图中的星状物和肿块

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摘要

If detected early, breast cancer can be treated with better patient outcomes and significantly lower costs. From recent (1998) retrospective breast cancer studies, in approximately half of missed cases, a minimal sign was already visible on a prior mammogram. Using information technology such as spatial dendrograms (stealth-related technology) and repartment hierarchical identification (successive information peeling), difficult cases of spiculated and stellate tumours can be identified. The techniques are robust to noise and can reveal various layers of biophysical and biomedical differences in a tumour.
机译:如果早期检测到,可以用更好的患者结果治疗乳腺癌并显着降低成本。来自近期(1998年)回顾性乳腺癌研究,在大约一半的错过病例中,在先前的乳房X光线照片上已经可见了最小标志。使用诸如空间树木(隐藏相关技术)和重款等级识别(连续信息剥离)的信息技术,可以识别出困难的刺激和星状肿瘤的情况。该技术对噪音稳健,并且可以揭示肿瘤中的各个生物物理和生物医学差异。

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