Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer ; volume:26 ; number:1 ; day:18 ; month:1 ; year:2024 ; pages:1-13 ; date:12.2024
Breast cancer research ; 26, Heft 1 (18.1.2024), 1-13, 12.2024
- Creator
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Fisher, Timothy B.
Saini, Geetanjali
Rekha, T. S.
Krishnamurthy, Jayashree
Bhattarai, Shristi
Callagy, Grace
Webber, Mark
Janssen, Emiel A. M.
Kong, Jun
Aneja, Ritu
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13058-023-01752-y
- URN
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urn:nbn:de:101:1-2024033110325005084235
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:45 AM CEST
Data provider
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Associated
- Fisher, Timothy B.
- Saini, Geetanjali
- Rekha, T. S.
- Krishnamurthy, Jayashree
- Bhattarai, Shristi
- Callagy, Grace
- Webber, Mark
- Janssen, Emiel A. M.
- Kong, Jun
- Aneja, Ritu
- SpringerLink (Online service)
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The PARTNER trial of neoadjuvant olaparib with chemotherapy in triple-negative breast cancer
CD44v9 as a poor prognostic factor of triple-negative breast cancer treated with neoadjuvant chemotherapy
A Brief Review of Treatment Options for Neoadjuvant Chemotherapy in Patients with Triple-negative Breast Cancer
Immune microenvironment changes induced by neoadjuvant chemotherapy in triple-negative breast cancers: the MIMOSA-1 study
Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer
Surgical outcomes following neoadjuvant chemotherapy with and without immunotherapy in patients with triple-negative breast cancer
Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
Patient-reported outcomes from a randomized trial of neoadjuvant atezolizumab-chemotherapy in early triple-negative breast cancer
A Minimal lncRNA-mRNA Signature Predicts Sensitivity to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
Co-clinical FDG-PET radiomic signature in predicting response to neoadjuvant chemotherapy in triple-negative breast cancer
Evaluation of neoadjuvant chemotherapy for clinical T1 triple-negative breast cancer
The Immunomodulatory Effects of Dexamethasone on Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer
The PARTNER trial of neoadjuvant olaparib with chemotherapy in triple-negative breast cancer
CD44v9 as a poor prognostic factor of triple-negative breast cancer treated with neoadjuvant chemotherapy
A Brief Review of Treatment Options for Neoadjuvant Chemotherapy in Patients with Triple-negative Breast Cancer
Immune microenvironment changes induced by neoadjuvant chemotherapy in triple-negative breast cancers: the MIMOSA-1 study
Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer
Surgical outcomes following neoadjuvant chemotherapy with and without immunotherapy in patients with triple-negative breast cancer
Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
Patient-reported outcomes from a randomized trial of neoadjuvant atezolizumab-chemotherapy in early triple-negative breast cancer
A Minimal lncRNA-mRNA Signature Predicts Sensitivity to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer