Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images

no code implementations • MICCAI Workshop COMPAY 2021 • Hanyun Zhang, Tami Grunewald, Ayse U. Akarca, Teresa Marafioti, Jonathan A. Ledermann, Yinyin Yuan

Deep-learning-based automatic analysis of the multiplex immunohistochemistry (mIHC) enables distinct cell populations to be localized on a large scale, providing insights into disease biology and therapeutic targets.

Cell Detection Classification

ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images

no code implementations • 1 Aug 2019 • Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan

Incorporating cell count loss in the objective function regularizes the network to learn weak gradient boundaries and separate weakly stained cells from background artefacts.

Cell Detection General Classification