Cell image classification: a comparative overview

• DOI: 10.48550/arxiv.1906.03316
• Publication Date: 2019-01-01
• Authors: Mohammad Shifat‐E...; Xuwang Yin; Cailey E. Fitzgerald; Gustavo K. Rohde
• Keywords: Contextual image classification

Cell image classification methods are currently being used in numerous applications cell biology and medicine. Applications include understanding the effects of genes drugs screening experiments, role subcellular localization different proteins, as well diagnosis prognosis cancer from images acquired using cytological histological techniques. We review three approaches for classification: numerical feature extraction, end to with neural networks, transport-based morphometry. In addition, we provide comparisons on four imaging datasets highlight relative strength each method.