Efficacy of deep convolutional neural network features on histological manifold for robust breast carcinoma detection
Sawon Pratiher, Souvik Pratiher, Diptiman Hazra, Saikat Ghosh, Subhankar Chattoraj, Rajdeep Mukherjee, Arnab Chakraborty · 2018
In this study, exploratory deep feature engineering using convolutional neural network (CNN) on histological manifold has been proposed for robust breast carcinoma detection. A comparative evaluation emphasizing the adequacy of manifold learning and CNN aided deep features over state-of-the-art biomarkers and other deep learning models is done for histopathological image (HI) classification. The proposed framework efficiently differentiate the spatial textural non-stationarity in HI and apprehend the topographic aberrations of cancerous tissues and exemplifies its competency for clinical settings deployment in developing countries. Experimental results are discussed in detail.