Accurate classification of major brain cell types using in vivo imaging and neural network processing
Jun KONG, PhD, Northeast Normal University, Changchun, School of Computer Science and Information Technology
A deep learning approach for nucleus segmentation and tumor classification from lung histopathological images
Use Case 1: Nuclei Segmentation - Andrew Janowczyk
Sharath CHOLLETI, CTO, PhD
DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data
GitHub - uit-hdl/hovernet-pipeline: Modified version of HoVer-Net repository
David GUTMAN, Professor (Assistant), MD PhD, Emory University, GA, EU, Department of Neurology
David GUTMAN, Professor (Assistant), MD PhD, Emory University, GA, EU, Department of Neurology
A Rapid and Efficient 2D/3D Nuclear Segmentation Method for Analysis of Early Mouse Embryo and Stem Cell Image Data - ScienceDirect
Examples CellProfiler
A Deep Learning Pipeline for Nucleus Segmentation - Zaki - 2020 - Cytometry Part A - Wiley Online Library
Sensors, Free Full-Text
The pipeline of encoding a whole slide image (WSI) into an embedded map
