2 papers
cs.CV2018
Deconvolving convolution neural network for cell detection
Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani +4
Automatic cell detection in histology images is a challenging task due to varying size, shape and features of cells and stain variations across a large cohort. Conventional deep le…
q-bio.QM2017
Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection
James E. Barrett, Andrew Feber, Javier Herrero +4
Motivation: Epigenetic heterogeneity within a tumour can play an important role in tumour evolution and the emergence of resistance to treatment. It is increasingly recognised that…