<p>Preliminary multimodal deep learning investigation of tumor immune microenvironment cell-type deconvolution for colorectal cancer prognostication </p>

Zarif L Azher; Salban Nithilaselvan; Tristan DeVictor; Eric Zhang; Tanay Panja; Ji-Qing Chen; Brock Christensen; Lucas Salas; Louis Vaickus; Joshua Levy

doi:10.7490/f1000research.1119682.1

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Azher ZL, Nithilaselvan S, DeVictor T et al. Preliminary multimodal deep learning investigation of tumor immune microenvironment cell-type deconvolution for colorectal cancer prognostication [version 1; not peer reviewed]. F1000Research 2023, 12:1559 (poster) (https://doi.org/10.7490/f1000research.1119682.1)

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Preliminary multimodal deep learning investigation of tumor immune microenvironment cell-type deconvolution for colorectal cancer prognostication

Zarif L Azher, Salban Nithilaselvan, Tristan DeVictor, Eric Zhang, Tanay Panja, Ji-Qing Chen, Brock Christensen, Lucas Salas, Louis Vaickus, Joshua Levy¹

Published 05 Dec 2023 (https://doi.org/10.7490/f1000research.1119682.1)

Author Affiliations

¹ Departments of Pathology and Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA

Copyright © 2023 Azher ZL et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 05 Dec 2023

Preliminary multimodal deep learning investigation of tumor immune microenvironment cell-type deconvolution for colorectal cancer prognostication
[version 1; not peer reviewed]

Zarif L Azher, Salban Nithilaselvan, Tristan DeVictor, Eric Zhang, Tanay Panja, Ji-Qing Chen, Brock Christensen, Lucas Salas, Louis Vaickus, Joshua Levy¹

Author Affiliations

¹ Departments of Pathology and Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA

Presented at

Pacific Symposium on Biocomputing (PSB), 2024

Abstract

Competing Interests

No competing interests were disclosed

Keywords

tumor immune microenvironment, multimodal, prognostication, cell type deconvolution, whole slide imaging

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