Results 21 to 30 of about 1,019 (182)
Frontiers in Marine Science, 2021 Marine imaging has evolved from small, narrowly focussed applications to large-scale applications covering areas of several hundred square kilometers or time series covering observation periods of several months.
Martin Zurowietz, Tim W. Nattkemper
doaj +1 more source
Scientific Reports, 2021 Liver cancer is one of the leading causes of cancer deaths in Asia and Africa. It is caused by the Hepatocellular carcinoma (HCC) in almost 90% of all cases. HCC is a malignant tumor and the most common histological type of the primary liver cancers. The
Mousumi Roy +6 more
doaj +1 more source
Dynamic registration for gigapixel serial whole slide images [PDF]
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017 High-throughput serial histology imaging provides a new avenue for the routine study of micro-anatomical structures in a 3D space. However, the emergence of serial whole slide imaging poses a new registration challenge, as the gigapixel image size precludes the direct application of conventional registration techniques.
Blair J. Rossetti +5 more
openaire +2 more sources
A Decade of GigaScience: The Challenges of Gigapixel Pathology Images
GigaScience, 2022 Abstract In the last decade, the field of computational pathology has advanced at a rapid pace because of the availability of deep neural networks, which achieved their first successes in computer vision tasks in 2012. An important driver for the progress of the field were public competitions, so called ‘Grand Challenges’, in which ...
Litjens, G.J. +5 more
openaire +4 more sources
Semi-Supervised Classification of Noisy, Gigapixel Histology Images [PDF]
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), 2020 One of the greatest obstacles in the adoption of deep neural networks for new medical applications is that training these models typically require a large amount of manually labeled training samples. In this body of work, we investigate the semi-supervised scenario where one has access to large amounts of unlabeled data and only a few labeled samples ...
J. Vince Pulido +8 more
openaire +2 more sources
Diagnosis and monitoring of rock art sites in “4D · arte rupestre” projects
Les Nouvelles de l’Archéologie, 2019 Since 2013 the projects “4D · arte rupestre” have been carried out in more than 20 sites along the eastern half of the Iberian Peninsula, in locations included in UNESCO’s World Heritage List since 1998.
Juan F. Ruiz López +2 more
doaj +1 more source
Gigapixel macro photography of tree rings
, 2020 Two ultra-high resolution images of tree rings are available as TIFF files. Tree-ring specimens are Pseudotsuga macrocarpa from California and Quercus macrocarpa from Minnesota sampled in June 2016 and March 2019, respectively.
Crawford, Daniel J +6 more
core +1 more source
Deep Learning for Whole Slide Image Analysis: An Overview
Frontiers in Medicine, 2019 The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision, showcasing significant improvements over previous methodologies on visual ...
Neofytos Dimitriou +2 more
doaj +1 more source
Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images [PDF]
IEEE Transactions on Biomedical Engineering, 2016 Image registration of whole slide histology images allows the fusion of fine-grained information-like different immunohistochemical stains-from neighboring tissue slides. Traditionally, pathologists fuse this information by looking subsequently at one slide at a time.
Johannes Lotz 0002 +14 more
openaire +4 more sources
Giga-SSL: Self-Supervised Learning for Gigapixel Images
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 Whole slide images (WSI) are microscopy images of stained tissue slides routinely prepared for diagnosis and treatment selection in medical practice. WSI are very large (gigapixel size) and complex (made of up to millions of cells). The current state-of-the-art (SoTA) approach to classify WSI subdivides them into tiles, encodes them by pre-trained ...
Tristan Lazard +3 more
openaire +2 more sources