2023-06-04-xue23a.md

title	booktitle	year	volume	series	month	publisher	pdf	url	abstract	layout	issn	id	tex_title	firstpage	lastpage	page	order	cycles	bibtex_editor	editor	bibtex_author	author	date	address	container-title	genre	issued	extras
Weakly Supervised Cell Instance Segmentation for Multi-Modality Microscopy	Proceedings of the NeurIPS Challenge on Cell Segmentation in Muliti-modality Microscopy Images	2022	212	Proceedings of Machine Learning Research	0	PMLR	https://proceedings.mlr.press/v212/xue23a/xue23a.pdf	https://proceedings.mlr.press/212/xue22.html	Instance segmentation of multi-modality high-resolution microscopy images is an important task in computational pathology. We extended HoVer-Net[1], originally developed for segmentation and classification of nuclei in multi-Tissue histology images, to apply it under weakly supervised situation. According to the final tests, this modification also works for multi-modality microscopy.	inproceedings	2640-3498	xue23a	Weakly Supervised Cell Instance Segmentation for Multi-Modality Microscopy	1	8	1-8	1	false	Ma, Jun and Xie, Ronald and Gupta, Anubha and Guilherme de Almeida, Jos\'e and Bader, Gary D. and Wang, Bo	given family Jun Ma given family Ronald Xie given family Anubha Gupta given family prefix José Almeida Guilherme de given family Gary D. Bader given family Bo Wang	Xue, Ming	given family Ming Xue	2023-06-04		Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images	inproceedings	date-parts 2023 6 4