Multiple instance learning based classification of diabetic retinopathy in weakly-labeled widefield OCTA en face images

Autor: Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Michael Niederleithner, Ursula M. Schmidt-Erfurth, Rainer A. Leitgeb, Wolfgang Drexler, Andreas Pollreisz, Tilman Schmoll

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)

Abstract Diabetic retinopathy (DR), a pathologic change of the human retinal vasculature, is the leading cause of blindness in working-age adults with diabetes mellitus. Optical coherence tomography angiography (OCTA), a functional extension of optic

Externí odkaz: https://doaj.org/article/c4f40fd80c844499ad0761314d086da6

Stable classification of diabetic structures from incorrectly labeled OCTA en face images using multi instance learning

Autor: Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll

Publikováno v: Medical Imaging 2023: Image Processing.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::67fa20c263b49033bb70fbf8bd1d60a8
https://doi.org/10.1117/12.2652891

Stable classification of diabetic structures from incorrectly labeled optical coherence tomography angiography en face images using multi instance learning

Autor: Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll

Publikováno v: Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a4442ab7860055e855b90915202e2e32
https://doi.org/10.1117/12.2652540

Synthetic data generation for optical flow evaluation in the neurosurgical domain

Autor: Laura Lang, Anna Alperovich, Franziska Mathis-Ullrich, Stefan Saur, Lars Hauptmann, Neal Bacher, Andrea Mathis, Marielena Gutt-Will, Andreas Raabe, Markus Philipp, Jonas Nienhaus

Publikováno v: Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 67-71 (2021)
Philipp, Markus; Bacher, Neal; Nienhaus, Jonas; Hauptmann, Lars; Lang, Laura; Alperovich, Anna; Gutt-Will, Marielena; Mathis, Andrea; Saur, Stefan; Raabe, Andreas; Mathis-Ullrich, Franziska (2021). Synthetic data generation for optical flow evaluation in the neurosurgical domain. Current directions in biomedical engineering, 7(1), pp. 67-71. De Gruyter 10.1515/cdbme-2021-1015
Current directions in biomedical engineering, 7 (1), 67–71

Towards computer-assisted neurosurgery, scene understanding algorithms for microscope video data are required. Previous work utilizes optical flow to extract spatiotemporal context from neurosurgical video sequences. However, to select an appropriate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70d99544cffed449dedb18c05250acd3
https://doaj.org/article/7b7301169aba4357b6bcf22a2dd6b583