Automated detection of microfossil fish teeth from slide images using combined deep learning models
Kazuhide Mimura, Shugo Minabe, Kentaro Nakamura, Kazutaka Yasukawa, Junichiro Ohta, Yasuhiro Kato
- ISSN / E-ISSN
- — / —
- DOI
- 10.1016/j.acags.2022.100092 ↗
- Volume · Issue · Pages
- 16 · — · 100092-100092
- Publisher
- Elsevier BV
- Article URL
- https://doi.org/10.1016/j.acags.2022.100092 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
06 Aug 2022
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 06 Aug 2022 | OpenAlex |
Keywords (as given): ichthyoliths; automated detection; Mask R-CNN; EfficientNetV2; instance segmentation; image classification; tooth length measurement; deep-sea sediments; pelagic clay; biostratigraphy; paleoceanography
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- Some rows of the HEC list for this period are not yet matched to a journal, so absence cannot be proved. Pending verification.
Best available information, not a definitive status: Some rows of the HEC list for this period are not yet matched to a journal, so absence cannot be proved. Pending verification.
- Journal
- Applied Computing and Geosciences
- Publication date used
- 06 Aug 2022 (OpenAlex publication date)
- Applicable HEC period
- 2022–23 (version 2) · 01 Jul 2022 – 30 Jun 2023
- Category
- —
- Recognition status
- Pending Verification (PERIOD_HAS_UNMATCHED_ROWS)
- Source
- —
- Verification status
- Unverified
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.