Improved Breast Cancer Classification Approach Using Hybrid Deep Learning Strategies for Tumor Segmentation

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION

Sensing and Imaging Pub Date : 2024-06-01 DOI:10.1007/s11220-024-00475-4

V. Anitha, Murugavalli Subramaniam, A. Roseline

引用次数: 0

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使用混合深度学习策略进行肿瘤分段的改进型乳腺癌分类方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sensing and Imaging INSTRUMENTS & INSTRUMENTATION-

CiteScore

5.00

自引率

0.00%

发文量

期刊介绍： Sensing and Imaging: An International Journal publishes peer-reviewed theoretical and experimental papers in print and online covering sensing and imaging techniques, systems, networks, and applications in engineering, science and medicine. The journal scope is broad and multidisciplinary, covering subsurface and surface sensing, and other sensing areas. Subsurface and surface sensing involves detection, identification and classification of objects, structures and matter, respectively, under and at surfaces.

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