Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning

Abstract

In this study, we introduce a morphological analysis of segmented tumour cells from histopathology images concerning the recognition of cell overlapping. The main research problem considered is to distinguish how many cells are located in a structure, which is composed of overlapping cells. In our experiments, we used convolutional neural network models to provide recognition of the number of cells. For the medical data used: Ki-67 histopathology images, we achieved a high f1-score result. Therefore, our research proves the assumption to use convolutional neural networks for morphological analysis of segmented objects derived from medical images.

Konrad Karanowski

Machine Learning Researcher

Machine Learning Researcher focused on computer vision, generative models and AI for science.