Labeling instructions matter in biomedical image analysis

no code implementations • 20 Jul 2022 • Tim Rädsch, Annika Reinke, Vivienn Weru, Minu D. Tizabi, Nicholas Schreck, A. Emre Kavur, Bünyamin Pekdemir, Tobias Roß, Annette Kopp-Schneider, Lena Maier-Hein

Here, we present the first systematic study of labeling instructions and their impact on annotation quality in the field.

Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis

no code implementations • 15 Jun 2021 • Maximilian Dietrich, Silvia Seidlitz, Nicholas Schreck, Manuel Wiesenfarth, Patrick Godau, Minu Tizabi, Jan Sellner, Sebastian Marx, Samuel Knödler, Michael M. Allers, Leonardo Ayala, Karsten Schmidt, Thorsten Brenner, Alexander Studier-Fischer, Felix Nickel, Beat P. Müller-Stich, Annette Kopp-Schneider, Markus A. Weigand, Lena Maier-Hein

Sepsis is a leading cause of mortality and critical illness worldwide.

BIG-bench Machine Learning

Semantic segmentation of multispectral photoacoustic images using deep learning

no code implementations • 20 May 2021 • Melanie Schellenberg, Kris Dreher, Niklas Holzwarth, Fabian Isensee, Annika Reinke, Nicholas Schreck, Alexander Seitel, Minu D. Tizabi, Lena Maier-Hein, Janek Gröhl

Due to the intuitive representation of high-dimensional information, such a preprocessing algorithm could be a valuable means to facilitate the clinical translation of photoacoustic imaging.

Segmentation Semantic Segmentation +1