Deep learning can predict bevacizumab therapeutic effect and microsatellite instability directly from histology in epithelial ovarian cancer

CW Wang, YC Lee, YJ Lin, NP Firdi, H Muzakky… - Laboratory …, 2023 - Elsevier
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic
cancers, with the majority of cases being diagnosed at an advanced stage. Before targeted …
被引用次数：2 相关文章

Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer

CW Wang, YC Lee, YJ Lin, NP Firdi… - … ; a journal of … - pubmed.ncbi.nlm.nih.gov
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic
cancers, with the majority of cases being diagnosed at an advanced stage. Before targeted …

Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer.

CW Wang, YC Lee, YJ Lin, NP Firdi… - … ; a Journal of …, 2023 - europepmc.org
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among
gynecological cancers, with the majority of cases being diagnosed at an advanced stage …
[HTML] laboratoryinvestigation.org

[HTML][HTML] Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer

CW Wang, YC Lee, YJ Lin, NP Firdi… - Laboratory …, 2023 - laboratoryinvestigation.org
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic
cancers, with the majority of cases being diagnosed at an advanced stage. Before targeted …
[HTML] laboratoryinvestigation.org

[HTML][HTML] Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer

CW Wang, YC Lee, YJ Lin, NP Firdi… - Laboratory …, 2023 - laboratoryinvestigation.org
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic
cancers, with the majority of cases being diagnosed at an advanced stage. Before targeted …