Efficient Classification of Very High Resolution Histopathological Images
Mohammad Iqbal Nouyed, Gianfranco Doretto, Donald Adjeroh · 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 2022
Over the years, deep learning approaches have shown significant improvement in various image understanding tasks. However, analysis of high resolution images still remains a major challenge. Apart from the huge computational resources required for such images, the large image sizes make it difficult to extract effective contextual information needed for important tasks, such as classification, segmentation, or clustering of such images. In this work, we address the challenge of high resolution image classification u sing a new discriminative patch selection approach. We embed our patch selection approach inside a novel classification framework, supporting potential use of different pre-trained learning models. We show results on a high resolution image dataset, namely, gigapixel whole slide tissue images for cancer tumors. We demonstrate the performance of the proposed approaches using comparative analysis with state-of-the art methods on this dataset.