1 code implementation • 4 Jul 2022 • Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann
Semantic segmentation in cataract surgery has a wide range of applications contributing to surgical outcome enhancement and clinical risk reduction.
no code implementations • 25 Sep 2021 • Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann
Semantic segmentation in surgical videos is a prerequisite for a broad range of applications towards improving surgical outcomes and surgical video analysis.
no code implementations • 11 Sep 2021 • Negin Ghamsarian, Mario Taschwer, Klaus Schoeffmann
This paper proposes a semantic segmentation network termed as DeepPyram that can achieve superior performance in segmenting relevant objects in cataract surgery videos with varying issues.
1 code implementation • 2 Jul 2021 • Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann
In particular, we propose (I) an end-to-end recurrent neural network to recognize the lens-implantation phase and (II) a novel semantic segmentation network to segment the lens and pupil after the implantation phase.
no code implementations • 29 Apr 2021 • Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Klaus Schoeffmann
This module consists of four parallel recurrent CNNs being responsible to detect four relevant phases that have been defined with medical experts.
no code implementations • 3 Jun 2016 • Mario Taschwer, Oge Marques
Content-based analysis and retrieval of digital images found in scientific articles is often hindered by images consisting of multiple subfigures (compound figures).