Explaining decisions of deep neural networks used for fish age prediction.

Autor: Alba Ordoñez, Line Eikvil, Arnt-Børre Salberg, Alf Harbitz, Sean Meling Murray, Michael C Kampffmeyer

Publikováno v: PLoS ONE, Vol 15, Iss 6, p e0235013 (2020)

Age-reading of fish otoliths (ear stones) is important for the sustainable management of fish resources. However, the procedure is challenging and requires experienced readers to carefully examine annual growth zones. In a recent study, convolutional

Externí odkaz: https://doaj.org/article/5b4e2c507f3a44ac9ee8bec391dce9c9

A Tale of Two Transcriptions. Machine-Assisted Transcription of Historical Sources

Autor: Gunnar Thorvaldsen, Joana Maria Pujadas-Mora, Trygve Andersen, Line Eikvil, Josep Lladós, Alicia Fornés, Anna Cabré

Publikováno v: Historical Life Course Studies, Vol 2, Pp 1-19 (2015)

This article explains how two projects implement semi-automated transcription routines: for census sheets in Norway and marriage protocols from Barcelona. The Spanish system was created to transcribe the marriage license books from 1451 to 1905 for t

Externí odkaz: https://doaj.org/article/73d8cd633a7f43aa8580b689ad5aa5cb

Semi-supervised target classification in multi-frequency echosounder data

Autor: Nils Olav Handegard, Robert Jenssen, Arnt-Børre Salberg, Olav Brautaset, Michael Kampffmeyer, Changkyu Choi, Line Eikvil

Publikováno v: ICES Journal of Marine Science

Acoustic target classification in multi-frequency echosounder data is a major interest for the marine ecosystem and fishery management since it can potentially estimate the abundance or biomass of the species. A key problem of current methods is the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1a26370e7cb93c23e101ff76ddc5818
https://hdl.handle.net/10037/22715

Explaining decisions of deep neural networks used for fish age prediction

Autor: Sean Meling Murray, Michael Kampffmeyer, Arnt-Børre Salberg, Line Eikvil, Alba Ordoñez, Alf Harbitz

Publikováno v: PLoS ONE
PLOS ONE
PLoS ONE, Vol 15, Iss 6, p e0235013 (2020)

Age-reading of fish otoliths (ear stones) is important for the sustainable management of fish resources. However, the procedure is challenging and requires experienced readers to carefully examine annual growth zones. In a recent study, convolutional

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e0bddc1c5d149cbf53ee2518125b099
http://europepmc.org/articles/PMC7304622

Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach

Autor: Andrew Gilbert, Marit Holden, Kristin McLeod, Line Eikvil, Eigil Samset, Svein Arne Aase

Publikováno v: Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis-First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis ISBN: 9783030328740

Two-dimensional echocardiography (2DE) measurements of left ventricle (LV) dimensions are highly significant markers of several cardiovascular diseases. These measurements are often used in clinical care despite suffering from large variability betwe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b478c8fc55ee812a77de48aece95fe9