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An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image
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| Published in: | International Journal of Data Science and Analytics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1870568931071098880 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Data Science and Analytics |
| description | |
| discipline_display | Big data and data science |
| discipline_facet | Big data and data science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:102551 |
| institution | FRELIP |
| journal_source_facet | International Journal of Data Science and Analytics |
| last_indexed | 2026-07-13T03:32:26.592Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image Big data and data science General Big data and data science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Big data and data science General Big data and data science |
| subject_facet | Big data and data science General Big data and data science |
| title | An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image |
| title_alt | Detección y clasificación óptima del cáncer de mama basada en CSBO utilizando diseño profundo SAC-LSTM a partir de imágenes histopatológicas Détection et classification optimales du cancer du sein basées sur CSBO à l'aide d'une conception Deep SAC-LSTM à partir d'images histopathologiques Detecção e classificação ótimas baseadas em CSBO de câncer de mama usando design profundo SAC-LSTM a partir de imagem histopatológica |
| title_auth | An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image |
| title_es_txt | Detección y clasificación óptima del cáncer de mama basada en CSBO utilizando diseño profundo SAC-LSTM a partir de imágenes histopatológicas |
| title_fr_txt | Détection et classification optimales du cancer du sein basées sur CSBO à l'aide d'une conception Deep SAC-LSTM à partir d'images histopathologiques |
| title_full | An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image |
| title_fullStr | An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image |
| title_full_unstemmed | An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image |
| title_pt_txt | Detecção e classificação ótimas baseadas em CSBO de câncer de mama usando design profundo SAC-LSTM a partir de imagem histopatológica |
| title_short | An optimal CSBO-based detection and classification of breast cancer using deep SAC-LSTM design from histopathological image |
| title_sort | an optimal csbo-based detection and classification of breast cancer using deep sac-lstm design from histopathological image |
| topic | Big data and data science General Big data and data science |
| url | https://link.springer.com/article/10.1007/s41060-026-01202-w |