Stable detection of diabetic lesions in widefield optical coherence tomography angiography en face images using a multiple instance learning binary classifier

P. Matten; J. Scherer; T. Schlegl; J. Nienhaus; H. Stino; A. Pollreisz; B. Lee; W. Drexler; R. A. Leitgeb; T. Schmoll

doi:10.1117/12.2670592

11 August 2023 Stable detection of diabetic lesions in widefield optical coherence tomography angiography en face images using a multiple instance learning binary classifier

P. Matten, J. Scherer, T. Schlegl, J. Nienhaus, H. Stino, A. Pollreisz, B. Lee, W. Drexler, R. A. Leitgeb, T. Schmoll

Author Affiliations +

Proceedings Volume 12632, Optical Coherence Imaging Techniques and Imaging in Scattering Media V; 126321M (2023) https://doi.org/10.1117/12.2670592
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

Diabetic retinopathy is the leading cause of vision loss. Optical coherence tomography-angiography is emerging as the potentially most promising technique for diagnosing DR. We circumvent the necessity for strong labels in these data with our multiple instance learning (MIL)-based network, MIL-ResNet14. MIL-ResNet14 is evaluated against two other proven capable classifiers, Res-Net14 and VGG16. All networks were assessed quantitatively by numerical classification values. MIL-ResNet14 showcased superior numerical classification abilities and turned to identify lesions more reliably. We conclude that MIL has a regularizing effect on inexactly labeled data and is a more reliable classifier than previously proposed methods.

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P. Matten, J. Scherer, T. Schlegl, J. Nienhaus, H. Stino, A. Pollreisz, B. Lee, W. Drexler, R. A. Leitgeb, and T. Schmoll "Stable detection of diabetic lesions in widefield optical coherence tomography angiography en face images using a multiple instance learning binary classifier", Proc. SPIE 12632, Optical Coherence Imaging Techniques and Imaging in Scattering Media V, 126321M (11 August 2023); https://doi.org/10.1117/12.2670592

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KEYWORDS

Binary data

Image classification

Optical coherence tomography

Angiography

Neural networks

Optical coherence

Reliability

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