مؤتمر
Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages
| العنوان: | Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages |
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| المؤلفون: | Kumar, Navdeep, Claudia Di Biagio, Zachary Dellacqua, Raman, Ratish, Arianna Martini, Clara Boglione, Muller, Marc, Geurts, Pierre, Marée, Raphaël |
| المصدر: | urn:isbn:978-3-031-25069-9 Computer Vision – ECCV 2022 Workshops. ECCV 2022. Lecture Notes in Computer Science (2023-02-14); Bio Image Computing Workshop in European Conference on Computer Vision 2022, Tel Aviv, Israel [IL], 23-27 October |
| بيانات النشر: | Springer, 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Deep Learning, Multi-modal image analysis, landmark detection, artificial intelligence, bio images, fish, Engineering, computing & technology, Computer science, Human health sciences, Ingénierie, informatique & technologie, Sciences informatiques, Sciences de la santé humaine |
| الوصف: | In this paper we perform an empirical evaluation of variants of deep learning methods to automatically localize anatomical landmarks in bioimages of fishes acquired using different imaging modalities (microscopy and radiography). We compare two methodologies namely heatmap based regression and multivariate direct regression, and evaluate them in combination with several Convolutional Neural Network (CNN) architectures. Heatmap based regression approaches employ Gaussian or Exponential heatmap generation functions combined with CNNs to output the heatmaps corresponding to landmark locations whereas direct regression approaches output directly the (x, y) coordinates corresponding to landmark locations. In our experiments, we use two microscopy datasets of Zebrafish and Medaka fish and one radiographydataset of gilthead Seabream. On our three datasets, the heatmap approach with Exponential function and U-Net architecture performs better. Datasets and open-source code for training and prediction are made available to ease future landmark detection research and bioimaging applications. 2. Zero hunger 3. Good health and well-being 9. Industry, innovation and infrastructure |
| نوع الوثيقة: | conference paper http://purl.org/coar/resource_type/c_5794 conferenceObject peer reviewed |
| اللغة: | English |
| Relation: | info:eu-repo/grantAgreement/EC/H2020/766347; Seabream Radiograph; Seabream Radiograph; Seabream Radiograph; https://research.cytomine.be/#/project/434321374/images; https://research.cytomine.be/#/project/549311125/images; https://research.cytomine.be/#/project/549112638/images |
| DOI: | 10.1007/978-3-031-25069-9_31 |
| URL الوصول: | https://orbi.uliege.be/handle/2268/294220 |
| حقوق: | open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess |
| رقم الأكسشن: | edsorb.294220 |
| قاعدة البيانات: | ORBi |
| DOI: | 10.1007/978-3-031-25069-9_31 |
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