Optimization of the Prediction of Complete Response to Neoadjuvant Chemotherapy in Breast Cancer by Breast MRI : Contributions of Semantic Descriptors, Radiomics, and Segmentation Methods

Caroline Malhaire

Open source

DOI: 10.70675/45d4cd95zfedbz457cza7d4zcced76c63b18
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Publisher: Agence Bibliographique de l'Enseignement Supérieur
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Cite this work

BibTeX

@article{allodium:10.70675/45d4cd95zfedbz457cza7d4zcced76c63b18,
  title = {Optimization of the Prediction of Complete Response to Neoadjuvant Chemotherapy in Breast Cancer by Breast MRI : Contributions of Semantic Descriptors, Radiomics, and Segmentation Methods},
  author = {Caroline Malhaire},
  doi = {10.70675/45d4cd95zfedbz457cza7d4zcced76c63b18},
  url = {https://doi.org/10.70675/45d4cd95zfedbz457cza7d4zcced76c63b18}
}

RIS

TY  - JOUR
TI  - Optimization of the Prediction of Complete Response to Neoadjuvant Chemotherapy in Breast Cancer by Breast MRI : Contributions of Semantic Descriptors, Radiomics, and Segmentation Methods
AU  - Caroline Malhaire
DO  - 10.70675/45d4cd95zfedbz457cza7d4zcced76c63b18
UR  - https://doi.org/10.70675/45d4cd95zfedbz457cza7d4zcced76c63b18
ER  -

APA

Malhaire, C. (n.d.). Optimization of the Prediction of Complete Response to Neoadjuvant Chemotherapy in Breast Cancer by Breast MRI : Contributions of Semantic Descriptors, Radiomics, and Segmentation Methods. https://doi.org/10.70675/45d4cd95zfedbz457cza7d4zcced76c63b18

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crossref · retrieved 2026-09-26T00:21:38.420Z