Shahira Abousamra, David Belinsky, John Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen, Multi-Class Cell Detection Using Spatial Context Representation, ICCV 2021.

• Environment set up: refer to environment.md.

• Generate ground truth labels: refer to data_preprocessing.md.

• Model training and evaluation: refer to train_and_test.md.

• Pre-processed datasets: available under datasets. Includes:
  CoNSeP dataset:
  S. Graham, Q. D. Vu, S. E. A. Raza, A. Azam, Y-W. Tsang, J. T. Kwak and N. Rajpoot. "HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images." Medical Image Analysis, Sept. 2019 .(https://warwick.ac.uk/fac/cross_fac/tia/data/hovernet/)
  
  BRCA-M2C dataset:
  The accompanying dataset to our paper:
  S. Abousamra, D. Belinsky, J. V. Arnam, F. Allard, E. Yee, R. Gupta, T. Kurc, D. Samaras, J. Saltz, C. Chen, "Multi-Class Cell Detection Using Spatial Context Representation", ICCV 2021.
  (https://github.com/TopoXLab/Dataset-BRCA-M2C)

• Trained models: available under pretrained_models. Refer to pretrained_models.md.

• Trained models test results: available under pretrained_results.

@InProceedings{Abousamra_2021_ICCV,
author    = {Abousamra, Shahira and Belinsky, David and Van Arnam, John and Allard, Felicia and Yee, Eric and Gupta, Rajarsi and Kurc, Tahsin and Samaras, Dimitris and Saltz, Joel and Chen, Chao},  
title     = {Multi-Class Cell Detection Using Spatial Context Representation},  
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},  
year      = {2021},  
}