{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/segmentation-of-drosophila-heart-in-optical","title":"Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks","arxiv_id":"1803.01947","date":"2018-03-05","proceeding":null,"authors":["Lian Duan","Xi Qin","Yuanhao He","Xialin Sang","Jinda Pan","Tao Xu","Jing Men","Rudolph E. Tanzi","Airong Li","Yutao Ma","Chao Zhou"],"abstract":"Convolutional neural networks are powerful tools for image segmentation and\nclassification. Here, we use this method to identify and mark the heart region\nof Drosophila at different developmental stages in the cross-sectional images\nacquired by a custom optical coherence microscopy (OCM) system. With our\nwell-trained convolutional neural network model, the heart regions through\nmultiple heartbeat cycles can be marked with an intersection over union (IOU)\nof ~86%. Various morphological and dynamical cardiac parameters can be\nquantified accurately with automatically segmented heart regions. This study\ndemonstrates an efficient heart segmentation method to analyze OCM images of\nthe beating heart in Drosophila.","url_abs":"http://arxiv.org/abs/1803.01947v2","url_pdf":"http://arxiv.org/pdf/1803.01947v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"segmentation-of-drosophila-heart-in-optical","repo_url":"https://github.com/Nogimon/FlyNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"heart-segmentation","task_name":"Heart Segmentation"},{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}