Figure 1 - uploaded by Thomas Wollmann
Content may be subject to copyright.
Download
View publication
8: Connectivity of sections and chapters in this thesis. The main topics of the thesis are highlighted in bold. Connections between sections indicate that the described methods build on each other.

8: Connectivity of sections and chapters in this thesis. The main topics of the thesis are highlighted in bold. Connections between sections indicate that the described methods build on each other.

Source publication
Figure 1.1: Main topics of this thesis.
Figure 1.5: MALDI-ToF mass spectrometry hardware
Figure 1.8: Connectivity of sections and chapters in this thesis. The...
Figure 2.2: AlexNet architecture [1]. The feature maps tensor size is...
+57 Figure 2.3: Illustration of unfolding RNN over observations x.
Deep Learning for Detection and Segmentation in High-Content Microscopy Images
Thesis
Full-text available
  • Jan 2020
High-content microscopy led to many advances in biology and medicine. This fast emerging technology is transforming cell biology into a big data driven science. Computer vision methods are used to automate the analysis of microscopy image data. In recent years, deep learning became popular and had major success in computer vision. Most of the avail...
Cite
Download full-text