Optical Coherence Tomography (OCT) Imaging Technology

Milanović, Ljubica; Milenkovic, Strahinja; Petrović, Nenad; Grujović, Nenad; Slavkovic, Vukasin; Živić, Fatima

doi:10.1109/bibe52308.2021.9635099

Cited by 4 publications

(1 citation statement)

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“…It discusses the technical aspects of spectral-domain and swept-source OCT, highlights low-cost and handheld devices, and the potential of integrating artificial intelligence with OCT imaging. The paper also presents case studies and technical specifications of OCT devices [11].…”

Section: B Advancements In DL For Computer-assisted Oct In Diagnosing...mentioning

confidence: 99%

OCT Images Diagnosis Based on Deep Learning – A Review

Abdi,

Abdulazeez

2024

ijcs

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The recent advancements in deep learning technology have significantly transformed the field of medical imaging, namely in the diagnosis of ocular illnesses. The progress made in this field has improved the capacity to extract and evaluate intricate characteristics in images, with Optical Coherence Tomography (OCT) playing a crucial role. OCT has become known for its safe qualities and its high level of detail, rendering it an essential instrument in the diagnosis of eye diseases. The interesting improvement in research is centered around the integration of deep learning with OCT for the purpose of automating the detection of eye diseases. We conducted a comprehensive study that explores several diagnostic methods and the wide-ranging uses of OCT. Additionally, it addresses the accessibility of publicly available datasets that are specifically tailored to optical coherence tomography (OCT). The paper provides a detailed review of the most recent advancements in computer-assisted diagnostic methods for diseases of the eye, such as age-related macular degeneration, glaucoma, and diabetic macular edema, with a particular focus on the effective use of OCT. Moreover, the paper systematically analyzes the primary challenges that deep learning faces in OCT image interpretation, emphasizing the intricate nature and possibilities of this field.

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Section: B Advancements In DL For Computer-assisted Oct In Diagnosing...mentioning

confidence: 99%