AI tools in medical image analysis: efficacy of ANN for oestrogen receptor status assessment in immunohistochemical staining of breast cancer2013

Evaluating oestrogen receptor status in immunohistochemical staining of breast cancer is so complicated. This process is done subjectively and is so much time consuming. In fact, the studied images present many characteristics such as the non uniformity in the intensity of the organic tissue and the cells, and also the variability of the size and the form of cells which make their processing so difficult. So, given all these complexities, conventional methods are unable to solve the problem. In this work, we study the ability of artificial intelligence as a modern and an unconventional technique to automatically classify breast cancer cells. This step is considered as primary in assessing oestrogen receptor status. Three intelligent techniques are presented, applied and compared: fuzzy c-means (FCM), artificial neural network (ANN) and genetic algorithm (GA). The statistical analysis demonstrates the efficacy of the artificial neural network by recording an average rate of sensitivity, specificity and acc...

– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications

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10.1504/IJBET.2013.056285

This work studies the ability of artificial intelligence as a modern and an unconventional technique to automatically classify breast cancer cells and demonstrates the efficacy of the artificial neural network by recording an average rate of sensitivity, specificity and specificity.

– The study evaluates the efficacy of artificial neural network (ANN) in classifying breast cancer cells.
– ANN is compared with fuzzy c-means (FCM) and genetic algorithm (GA) techniques.

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– Artificial neural network (ANN) is an effective technique for classifying breast cancer cells.
– Fuzzy c-means (FCM) and genetic algorithm (GA) were also compared.

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The paper discusses the use of artificial intelligence tools, specifically fuzzy c-means, artificial neural network, and genetic algorithm, for automatically classifying breast cancer cells based on oestrogen receptor status.

– Artificial neural network (ANN) can be used to automatically classify breast cancer cells.
– ANN shows efficacy in assessing oestrogen receptor status in breast cancer.

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