Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

An attempt for automated estimation of bioturbation intensity and ichnodiversity from the core section images by application of the convolutional neural networks (poster session)(abs.)

Authors=Kazuki Kikuchi, Hajime Naruse

Journal/Book_names=Abstracts, the 130th Annual Meeting of the Geological Society of Japan (online)

volume=130

pages=T6-P-7

Publish_year=2023

Publisher=Geological Society of Japan

Language_of_Text=JA

ISSN=21876665

DOI=10.14863/geosocabst.2023.0_340

ID=300038915

@id=https://gbank.gsj.jp/ld/resource/geolis/300038915