Publicações

Deep Learning-Based Image Analysis Predicts Pd-L1 Status from H&E-Stained Histopathology Images in Breast Cancer

AuthID
P-00X-GBV

Author(s)

Shamai, G

Livne, A

Polonia, A

Sabo, E

Cretu, A

Bar Sela, G

Kimmel, R

Tipo de Documento

Article

Year published

2022

Publicado

in NATURE COMMUNICATIONS

Volume: 13, Número: 1

Indexing

Wos^®

Scopus^®

Pubmed^®

Google Scholar^®

Publication Identifiers

DOI: 10.1038/s41467-022-34275-9

Pubmed: 36347854

SCOPUS: 2-s2.0-85141603463

Wos: WOS:000885370100022

Export Publication Metadata

Lista Marked

Adicionar à lista Marked

Citações

Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

CORE Conference

No information about CORE Rank

During the preprocessing phase, only publications of type 'Proceedings Paper' or 'Proceedings' are automatically processed to identify their CORE Rank.

TIP: If your publication's CORE Rank is missing, you can contact with your institutional manager to have the correct ranking manually added to the record.

Journal Factors

Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

Info

At this moment we don't have any links to full text documens.

Deep Learning-Based Image Analysis Predicts Pd-L1 Status from H&E-Stained Histopathology Images in Breast Cancer

Links Úteis

Ajuda

Autenticação Federada (Clique na imagem)

Deep Learning-Based Image Analysis Predicts Pd-L1 Status from H&E-Stained Histopathology Images in Breast Cancer

Links Úteis

Ajuda