Our images are labelled with accompanying descriptions and clinical pearls (hover to reveal)! All questions are carefully crafted and high yield. Each question comes with labelled diagrams and detailed explanations.

2015年7月1日 · The following retinal layers are labeled: nerve fiber layer; ganglion cell layer; inner plexiform layer; inner nuclear layer; outer plexiform layer; outer nuclear layer; external limiting membrane; ellipsoid zone (previously referred to as the IS/OS junction); interdigitation zone; and retinal pigment epithelium.

2024年4月11日 · In this work, we present a new open-access OCT dataset for Image-Based Deep Learning Methods (OCTDL) comprising over 2000 OCT images labeled according to various pathological conditions.

2023年12月13日 · OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. This work presents an open-access OCT dataset (OCTDL) comprising over 2000 OCT images labeled according to disease group and retinal pathology.

2012年9月15日 · OCT, especially high-resolution spectral-domain (SD-OCT), permits the visualization of all retinal layers, as well as the vitreous and the choroid. Localization of an abnormal finding to a specific layer of the retina often leads to a diagnosis that would not be otherwise possible.

Posterior segment evaluation with optical coherence tomography (OCT) allows visualization of the vitreous, retinal layers, retinal pigment epithelium (RPE) and the choroidal layers. Figure 1: SD-OCT scan of a normal right eye.

The first step in interpreting optical coherence tomography (OCT) images is understanding the layers of the retina as observed in a “normal” retina, or a retina without macular pathology. The image below is an enlargement of a cross sectional image of a …

2019年8月14日 · Optical coherence tomography (OCT) is a non-contact imaging technique which generates cross-sectional images of tissue with high resolution. Therefore it is especially valuable in organs, where traditional microscopic tissue diagnosis by means of biopsy is not available—such as the human eye.

2018年1月6日 · OCT Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL. Dataset of validated OCT and Chest X-Ray images described and analyzed in "Deep learning-based classification and referral of treatable human diseases".

2023年12月13日 · Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods (OCTDL) dataset comprising over 1600 high-resolution OCT images labeled according to disease group and retinal pathology.