Year: 2023
Type: preprint
Abstract: We present JDLL, an agile Java library that offers a comprehensive toolset/API to unify the development of high-end applications of DL for bioimage analysis and to streamline their installation and maintenance. JDLL provides all the functions required to consume DL models seamlessly, without being burdened by the configuration of the Python-based DL frameworks, within Java bioimage informatics platforms. Moreover, it allows the deployment of pre-trained models in the Bioimage Model Zoo (BMZ) by shipping the logic to connect to the BMZ website, download and run a selected model inference.
Source: arXiv (Cornell University)
Institutions: Institut Pasteur, Université Paris Cité, Centre National de la Recherche Scientifique, Biologie cellulaire physiologique et pathologique, Instituto Gulbenkian de Ciência, École Polytechnique Fédérale de Lausanne, Science for Life Laboratory, KTH Royal Institute of Technology, Universidad Carlos III de Madrid
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: green
Awards: G1861696716, G1979782309, G2262748287, G2628364946, G2648084224, G282427092, G3415473929, G3480869486, G3681454997, G381665449, G4042783231, Towards an instrument-free future of molecular diagnostics at the point-of-care, G425668148, G451917667, G4783475982, G4937468798, G4966614908, G5175525644, Institut Convergences pour l’étude de l’Emergence des Pathologies au Travers des Individus et des populatiONs, G5555131222, G5967599077, G683931746, Artificial Intelligence for Image Data Analysis in the Life Sciences, G7240651115, G7573077907, G7863371703, G8497050386, G8670608220, G8684520763
OpenAlex ID: W4380136188