1 citations · 2 across the 2 of their papers we have counts for
5 papers
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…
EasyMLServe: Easy Deployment of REST Machine Learning Services
Oliver Neumann, Marcel Schilling, Markus Reischl +1
Various research domains use machine learning approaches because they can solve complex tasks by learning from data. Deploying machine learning models, however, is not trivial and…
ciscNet -- A Single-Branch Cell Instance Segmentation and Classification Network
Moritz Böhland, Oliver Neumann, Marcel P. Schilling +4
Automated cell nucleus segmentation and classification are required to assist pathologists in their decision making. The Colon Nuclei Identification and Counting Challenge 2022 (Co…
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
Marcel P. Schilling, Luca Rettenberger, Friedrich Münke +5
Recent research in the field of computer vision strongly focuses on deep learning architectures to tackle image processing problems. Deep neural networks are often considered in co…
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Oliver Neumann, Nicole Ludwig, Marian Turowski +3
Deep Neural Networks are able to solve many complex tasks with less engineering effort and better performance. However, these networks often use data for training and evaluation wi…