15th International Conference on
Novel Imaging Methods for Diagnosis and Screening of Ophthalmic Diseases
The eye provides a unique opportunity for imaging: it is largely transparent to visible and near-IR light which enables imaging by a range of optical imaging modalities. Fundus photography, fluorescence angiography, fundus autofluorescence and optical coherence tomography (OCT) are some of the technologies that are routinely used in clinical practice. In addition, several newer modalities are being developed and evaluated, such as OCT-angiography, polarization-sensitive OCT, multispectral imaging, oximetry and Raman spectroscopy.
The resulting 2D, 3D or 4D images provide new information on the morphology and pathology of the cornea, lens, choroid and retina. Ophthalmologists cannot manually review these datasets, because of a lack of time, but also because it is largely unknown where the clinically relevant information is hidden in these datasets. Image analysis and recognition can help to transform these large datasets to clinically meaningful information. On the image level, this includes the extraction of relevant features, transformation of image data and definition of quantitative image-based biomarkers. On the level of large datasets, technology may aid to identify biomarkers that are related to a disease or to describe previously unknown effects of ophthalmic diseases.
Several of the mature imaging modalities are available in affordable, easy-to-operate and robust imaging systems, making them suited for screening of common ophthalmic diseases such as diabetic retinopathy, glaucoma and age-related macular degeneration. Image analysis may further automate the process of interpreting the acquired imaging by using conventional feature-based analysis or, in the case of large data sets, modern deep-learning approaches.
This session focuses on image analysis methods and systems for detection and screening of ophthalmic diseases.
Topics that are relevant to this special session include (but are not limited to):
Authors are invited to submit full papers showing original research contributions. The conference
proceedings will be published in the Springer Lecture Notes in Computer Science series (Springer
LNCS). Prospective authors should submit an electronic copy of their complete manuscript through
the ICIAR 2018 submission system by
Special Session Chairs
K.A. Vermeer, PhD
A.M. Mendonça, PhD
ICIAR - International Conference on Image Analysis and Recognition
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