{"id":1253,"date":"2024-06-05T17:30:20","date_gmt":"2024-06-06T00:30:20","guid":{"rendered":"https:\/\/biophotonics.bccrc.ca\/?p=1253"},"modified":"2024-06-10T14:12:14","modified_gmt":"2024-06-10T21:12:14","slug":"new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning","status":"publish","type":"post","link":"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/","title":{"rendered":"New publication on endoscopic oral OCT segmentation with deep learning"},"content":{"rendered":"\n

Congratulations to Chloe, a recent Masters student in our lab for her first publication in MDPI Cancers<\/em><\/a>.<\/p>\n\n\n\n

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OCT produces a large amount of 3-dimensional data which is hard to quantify manually. This study presents a neural network pipeline to simplify OCT interpretation by providing information about epithelial depth and stratification through simple en face maps. The pipeline’s predictions demonstrate as-good-as or better agreement than inter-rater agreement, suggesting strong predictive power.<\/p>\n<\/div>\n\n\n\n

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\"\"<\/figure>\n<\/div>\n<\/div>\n\n\n\n
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Grade 2 dysplasia of the lateral tongue, with an epithelial depth heatmap in (b).<\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Contralateral image of the lateral tongue, with an epithelial depth heatmap in (b).<\/figcaption><\/figure>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Congratulations to Chloe, a recent Masters student in our lab for her first publication in MDPI Cancers. OCT produces a large amount of 3-dimensional data which is hard to quantify manually. This study presents a neural network pipeline to simplify OCT interpretation by providing information about epithelial depth and stratification through simple en face maps. […]<\/p>\n","protected":false},"author":7,"featured_media":1280,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[11],"class_list":["post-1253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-publications"],"yoast_head":"\nNew publication on endoscopic oral OCT segmentation with deep learning - Optical Cancer Imaging Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New publication on endoscopic oral OCT segmentation with deep learning - Optical Cancer Imaging Lab\" \/>\n<meta property=\"og:description\" content=\"Congratulations to Chloe, a recent Masters student in our lab for her first publication in MDPI Cancers. OCT produces a large amount of 3-dimensional data which is hard to quantify manually. This study presents a neural network pipeline to simplify OCT interpretation by providing information about epithelial depth and stratification through simple en face maps. […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"Optical Cancer Imaging Lab\" \/>\n<meta property=\"article:published_time\" content=\"2024-06-06T00:30:20+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-06-10T21:12:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/biophotonics.bccrc.ca\/wp-content\/uploads\/2024\/06\/Graphical-Abstract.png\" \/>\n\t<meta property=\"og:image:width\" content=\"3325\" \/>\n\t<meta property=\"og:image:height\" content=\"2721\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Jeanie Malone\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jeanie Malone\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/\"},\"author\":{\"name\":\"Jeanie Malone\",\"@id\":\"https:\/\/biophotonics.bccrc.ca\/#\/schema\/person\/9e356d8426688355c9d4b21bdb6eba2f\"},\"headline\":\"New publication on endoscopic oral OCT segmentation with deep learning\",\"datePublished\":\"2024-06-06T00:30:20+00:00\",\"dateModified\":\"2024-06-10T21:12:14+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/\"},\"wordCount\":107,\"publisher\":{\"@id\":\"https:\/\/biophotonics.bccrc.ca\/#organization\"},\"image\":{\"@id\":\"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/biophotonics.bccrc.ca\/wp-content\/uploads\/2024\/06\/Graphical-Abstract.png\",\"keywords\":[\"publications\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/\",\"url\":\"https:\/\/biophotonics.bccrc.ca\/index.php\/2024\/06\/05\/new-publication-on-endoscopic-oral-oct-segmentation-with-deep-learning\/\",\"name\":\"New publication on endoscopic oral OCT segmentation with deep learning - 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