623MO Machine learning-based prediction of germinal center, MYC/BCL2 double protein expressor status, and MYC rearrangement from whole slide images in DLBCL patients-Reference-Cited by-同舟云学术

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623MO Machine learning-based prediction of germinal center, MYC/BCL2 double protein expressor status, and MYC rearrangement from whole slide images in DLBCL patients

Published:2022-09 Issue: Volume:33 Page:S829
ISSN:0923-7534
Container-title:Annals of Oncology
language:en
Short-container-title:Annals of Oncology

Author:

Syrykh C.,Schiratti J-B.,Brion E.,Joubert C.,Baia M.,Marlot L.,Maussion C.,Danneaux L.-W.,Bologna S.,Briere J.,Dartigues P.,Gaulard P.,Haioun C.,Jardin F.,Molina T.,Tilly H.,Gomez E.,Sondaz D.,Copie-Bergman C.,Laurent C.

Publisher

Elsevier BV

Subject

Oncology,Hematology

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MYC Rearrangement Prediction from LYSA Whole Slide Images in Large B-cell Lymphoma: A Multi-centric Validation of Self-supervised Deep Learning Models;Modern Pathology;2024-09

2. Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma Patients;Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops;2023

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