Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology
Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology
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DOI：
10.1016/j.compmedimag.2014.04.003
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发表时间：
2014-07-01
影响因子：
5.7
通讯作者：
Racoceanu, D.
中科院分区：
文献类型：
--
作者：
Irshad, H.;Gouaillard, A.;Racoceanu, D.
乳腺癌是第二常见的癌症。乳腺癌预后的参考过程是诺丁汉分级系统。根据该系统，有丝分裂检测是分级过程和量化肿瘤的位置和预后所需的三个重要标准之一。作为组织病理学领域相对较新的技术，多光谱成像相对于传统的RGB成像具有在电磁频谱上以特定频率捕获光谱分辨信息的优势。本研究旨在评估组织病理学多光谱图像上有丝分裂检测的准确性。拟议框架包括：光谱带和焦平面的选择，候选有丝分裂区域的检测以及形态学和多光谱统计特征的计算。还提供了用于有丝分裂分类的最新方法。该框架已经在MITOS多光谱数据集上进行了评估，并且实现了比最佳MITOS竞赛结果更高的检测率（67.35%）和F-Measure（63.74%）（Roux等人，2013年）。我们的研究结果表明，所选择的多光谱波段有更多的判别信息比一个单一的光谱波段或所有的光谱波段的有丝分裂的数字，验证使用多光谱图像，以提高质量的诊断组织病理学的兴趣。(C)2014爱思唯尔有限公司版权所有。
Breast cancer is the second most frequent cancer. The reference process for breast cancer prognosis is Nottingham grading system. According to this system, mitosis detection is one of the three important criteria required for grading process and quantifying the locality and prognosis of a tumor. Multispectral imaging, as relatively new to the field of histopathology, has the advantage, over traditional RGB imaging, to capture spectrally resolved information at specific frequencies, across the electromagnetic spectrum. This study aims at evaluating the accuracy of mitosis detection on histopathological multispectral images. The proposed framework includes: selection of spectral bands and focal planes, detection of candidate mitotic regions and computation of morphological and multispectral statistical features. A state-of-the-art of the, methods for mitosis classification is also provided. This framework has been evaluated on MITOS multispectral dataset and achieved higher detection rate (67.35%) and F-Measure (63.74%) than the best MITOS contest results (Roux et al., 2013). Our results indicate that the selected multispectral bands have more discriminant information than a single spectral band or all spectral bands for mitotic figures, validating the interest of using multispectral images to improve the quality of the diagnostic in histopathology. (C) 2014 Elsevier Ltd. All rights reserved.