Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images. Rahmon, G., Toubal, I. E., & Palaniappan, K. In 50th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2021, Washington, DC, USA, October 12-14, 2021, pages 1–7, 2021. IEEE. Paper doi bibtex @inproceedings{DBLP:conf/aipr/RahmonTP21,
author = {Gani Rahmon and
Imad Eddine Toubal and
Kannappan Palaniappan},
title = {Extending U-Net Network for Improved Nuclei Instance Segmentation
Accuracy in Histopathology Images},
booktitle = {50th {IEEE} Applied Imagery Pattern Recognition Workshop, {AIPR} 2021,
Washington, DC, USA, October 12-14, 2021},
pages = {1--7},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/AIPR52630.2021.9762213},
doi = {10.1109/AIPR52630.2021.9762213},
timestamp = {Mon, 02 May 2022 11:47:01 +0200},
biburl = {https://dblp.org/rec/conf/aipr/RahmonTP21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Downloads: 0
{"_id":"nbYCC2jqhY4wec9hH","bibbaseid":"rahmon-toubal-palaniappan-extendingunetnetworkforimprovednucleiinstancesegmentationaccuracyinhistopathologyimages-2021","author_short":["Rahmon, G.","Toubal, I. E.","Palaniappan, K."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Gani"],"propositions":[],"lastnames":["Rahmon"],"suffixes":[]},{"firstnames":["Imad","Eddine"],"propositions":[],"lastnames":["Toubal"],"suffixes":[]},{"firstnames":["Kannappan"],"propositions":[],"lastnames":["Palaniappan"],"suffixes":[]}],"title":"Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images","booktitle":"50th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2021, Washington, DC, USA, October 12-14, 2021","pages":"1–7","publisher":"IEEE","year":"2021","url":"https://doi.org/10.1109/AIPR52630.2021.9762213","doi":"10.1109/AIPR52630.2021.9762213","timestamp":"Mon, 02 May 2022 11:47:01 +0200","biburl":"https://dblp.org/rec/conf/aipr/RahmonTP21.bib","bibsource":"dblp computer science bibliography, https://dblp.org","bibtex":"@inproceedings{DBLP:conf/aipr/RahmonTP21,\n author = {Gani Rahmon and\n Imad Eddine Toubal and\n Kannappan Palaniappan},\n title = {Extending U-Net Network for Improved Nuclei Instance Segmentation\n Accuracy in Histopathology Images},\n booktitle = {50th {IEEE} Applied Imagery Pattern Recognition Workshop, {AIPR} 2021,\n Washington, DC, USA, October 12-14, 2021},\n pages = {1--7},\n publisher = {{IEEE}},\n year = {2021},\n url = {https://doi.org/10.1109/AIPR52630.2021.9762213},\n doi = {10.1109/AIPR52630.2021.9762213},\n timestamp = {Mon, 02 May 2022 11:47:01 +0200},\n biburl = {https://dblp.org/rec/conf/aipr/RahmonTP21.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n","author_short":["Rahmon, G.","Toubal, I. E.","Palaniappan, K."],"key":"DBLP:conf/aipr/RahmonTP21","id":"DBLP:conf/aipr/RahmonTP21","bibbaseid":"rahmon-toubal-palaniappan-extendingunetnetworkforimprovednucleiinstancesegmentationaccuracyinhistopathologyimages-2021","role":"author","urls":{"Paper":"https://doi.org/10.1109/AIPR52630.2021.9762213"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://dblp.org/pid/21/700.bib","dataSources":["fTpoadWdPkK6gsAHp","GA8cFNQ4AbbchzoRr"],"keywords":[],"search_terms":["extending","net","network","improved","nuclei","instance","segmentation","accuracy","histopathology","images","rahmon","toubal","palaniappan"],"title":"Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images","year":2021}