Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies ; volume:12 ; number:1 ; day:11 ; month:6 ; year:2022 ; pages:1-10 ; date:12.2022
Scientific reports ; 12, Heft 1 (11.6.2022), 1-10, 12.2022
- Creator
-
Saednia, Khadijeh
Lagree, Andrew
Alera, Marie A.
Fleshner, Lauren
Shiner, Audrey
Law, Ethan
Law, Brianna
Dodington, David W.
Lu, Fang-I
Tran, William T.
Sadeghi-Naini, Ali
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-022-13917-4
- URN
-
urn:nbn:de:101:1-2022080707162713311595
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
2025-08-15T07:32:24+0200
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Saednia, Khadijeh
- Lagree, Andrew
- Alera, Marie A.
- Fleshner, Lauren
- Shiner, Audrey
- Law, Ethan
- Law, Brianna
- Dodington, David W.
- Lu, Fang-I
- Tran, William T.
- Sadeghi-Naini, Ali
- SpringerLink (Online service)
Other Objects (12)
PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning
Histopathology specimens : clinical, pathological and laboratory aspects
Gene-expression profiles of pretreatment biopsies predict complete response of rectal cancer patients to preoperative chemoradiotherapy
Gene-expression profiles of pretreatment biopsies predict complete response of rectal cancer patients to preoperative chemoradiotherapy
Diagnosis of pathological complete response to neoadjuvant chemotherapy in breast cancer by imaging and minimal invasive biopsies
Liquid biopsies to occult brain metastasis
Pathological correlation between prostate biopsies and the radical prostatectomy, about 30 cases
Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer
Adequacy of histopathology request forms and specimens sent to two histopathology centers in Khartoum, Sudan
Rectal cancer: a methodological approach to matching PET/MRI to histopathology
Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
Forensic histopathology
PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning
Histopathology specimens : clinical, pathological and laboratory aspects
Gene-expression profiles of pretreatment biopsies predict complete response of rectal cancer patients to preoperative chemoradiotherapy
Gene-expression profiles of pretreatment biopsies predict complete response of rectal cancer patients to preoperative chemoradiotherapy
Diagnosis of pathological complete response to neoadjuvant chemotherapy in breast cancer by imaging and minimal invasive biopsies
Liquid biopsies to occult brain metastasis
Pathological correlation between prostate biopsies and the radical prostatectomy, about 30 cases
Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer
Adequacy of histopathology request forms and specimens sent to two histopathology centers in Khartoum, Sudan
Rectal cancer: a methodological approach to matching PET/MRI to histopathology
Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
Forensic histopathology
PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning
Histopathology specimens : clinical, pathological and laboratory aspects
Gene-expression profiles of pretreatment biopsies predict complete response of rectal cancer patients to preoperative chemoradiotherapy
Gene-expression profiles of pretreatment biopsies predict complete response of rectal cancer patients to preoperative chemoradiotherapy
Diagnosis of pathological complete response to neoadjuvant chemotherapy in breast cancer by imaging and minimal invasive biopsies
Liquid biopsies to occult brain metastasis
Pathological correlation between prostate biopsies and the radical prostatectomy, about 30 cases
Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer
Adequacy of histopathology request forms and specimens sent to two histopathology centers in Khartoum, Sudan
Rectal cancer: a methodological approach to matching PET/MRI to histopathology
Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI