BreCaHAD: a dataset for breast cancer histopathological annotation and diagnosis

Overview of attention for article published in BMC Research Notes, February 2019

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dimensions_citation: 69 Dimensions

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So far, Dimensions has found 69 publications that cite this research output.

69

The most recent citing publications are shown below. View all 69 publications that cite this research output on Dimensions.

Use of Autoencoders for Improving the Performance of Classification and Interpretation of Convolutional Neural Networks in Histopathological Images

Article in International Journal of Computational Intelligence and Applications (February 2024)

Towards interpretable imaging genomics analysis: Methodological developments and applications

Article in Information Fusion (February 2024)

Automatic Lymphocyte Detection on Breast Cancer Histological Images Using Deep Learning

Conference proceeding (January 2024)

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