Geological Literature
High-throughput automated analysis of radiolarian assemblage using deep learning and a virtual slide scanner (abs.)
Takuya Itaki, Ayumu Miyakawa, Minoru Ikehara
| item | description |
|---|---|
| Title | High-throughput automated analysis of radiolarian assemblage using deep learning and a virtual slide scanner (abs.) |
| Authors | Takuya Itaki, Ayumu Miyakawa, Minoru Ikehara |
| Data name | Abstracts with Programs, Regular Meeting, the Palaeontological Society of Japan |
| Volume | 173 |
| Page | 31-31 |
| Year | 2024 |
| Publisher | Palaeontological Society of Japan |
| Language | JA |
| GEOLIS URL | https://darc.gsj.jp/archives/detail?cls=geolis&pkey=300035266 |
| Link | |
| @id | https://gbank.gsj.jp/ld/resource/geolis/300035266 |