A
Anton Böhm
Researcher at University of Freiburg
Publications - 7
Citations - 1885
Anton Böhm is an academic researcher from University of Freiburg. The author has contributed to research in topics: Segmentation & Object detection. The author has an hindex of 5, co-authored 7 publications receiving 1134 citations.
Papers
More filters
Journal ArticleDOI
U-Net: deep learning for cell counting, detection, and morphometry
Thorsten Falk,Dominic Mai,Robert Bensch,Özgün Çiçek,Ahmed Abdulkadir,Ahmed Abdulkadir,Yassine Marrakchi,Anton Böhm,Jan Deubner,Zoe Jäckel,Katharina Seiwald,Alexander Dovzhenko,Olaf Tietz,Cristina Dal Bosco,Sean Walsh,Deniz Saltukoglu,Tuan Leng Tay,Marco Prinz,Klaus Palme,Matias Simons,Ilka Diester,Thomas Brox,Olaf Ronneberger +22 more
TL;DR: An ImageJ plugin is presented that enables non-machine-learning experts to analyze their data with U-Net on either a local computer or a remote server/cloud service.
Journal ArticleDOI
Gland segmentation in colon histology images: The GlaS challenge contest
Korsuk Sirinukunwattana,Josien P. W. Pluim,Hao Chen,Xiaojuan Qi,Pheng-Ann Heng,Yun Bo Guo,Li Yang Wang,Bogdan J. Matuszewski,Elia Bruni,Urko Sanchez,Anton Böhm,Olaf Ronneberger,Bassem Ben Cheikh,Daniel Racoceanu,Philipp Kainz,Philipp Kainz,Michael Pfeiffer,Martin Urschler,David Snead,Nasir M. Rajpoot +19 more
TL;DR: An overview to the Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) held at MICCAI'2015 is provided, along with the method descriptions and evaluation results from the top performing methods.
Journal ArticleDOI
Author Correction: U-Net: deep learning for cell counting, detection, and morphometry.
Thorsten Falk,Dominic Mai,Robert Bensch,Özgün Çiçek,Ahmed Abdulkadir,Ahmed Abdulkadir,Yassine Marrakchi,Anton Böhm,Jan Deubner,Zoe Jäckel,Katharina Seiwald,Alexander Dovzhenko,Olaf Tietz,Cristina Dal Bosco,Sean Walsh,Deniz Saltukoglu,Tuan Leng Tay,Marco Prinz,Klaus Palme,Matias Simons,Ilka Diester,Thomas Brox,Olaf Ronneberger +22 more
TL;DR: Corrections have been made in the PDF and HTML versions of the article, as well as in any cover sheets for associated Supplementary Information.
Proceedings ArticleDOI
ISOO DL : Instance segmentation of overlapping biological objects using deep learning
TL;DR: This work proposes an approach using a fully-convolutional neural network simultaneously solving two tasks: object detection and instance segmentation to handle overlapping biological objects using deep learning.
Posted Content
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
Korsuk Sirinukunwattana,Josien P. W. Pluim,Hao Chen,Xiaojuan Qi,Pheng-Ann Heng,Yun Bo Guo,Li Yang Wang,Bogdan J. Matuszewski,Elia Bruni,Urko Sanchez,Anton Böhm,Olaf Ronneberger,Bassem Ben Cheikh,Daniel Racoceanu,Philipp Kainz,Philipp Kainz,Michael Pfeiffer,Martin Urschler,David Snead,Nasir M. Rajpoot +19 more
TL;DR: The Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) as mentioned in this paper was held at MICCAI'2015. And the results of the challenge were published in 2015.