Simultaneous prediction of tumor microenvironment biomarkers from pathology slides using multi-task deep regression

被引:0
|
作者
El Nahhas, Omar S.
Ligero, Marta
Kather, Jakob N.
机构
关键词
D O I
10.1158/1538-7445.AM2024-6191
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
6191
引用
收藏
页数:2
相关论文
共 50 条
  • [1] Multi-Task Deep Learning Approach for Simultaneous Objective Response Prediction and Tumor Segmentation in HCC Patients with Transarterial Chemoembolization
    Li, Yuze
    Xu, Ziming
    An, Chao
    Chen, Huijun
    Li, Xiao
    JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (02):
  • [2] Multi-Task Active Learning for Simultaneous Emotion Classification and Regression
    Jiang, Xue
    Meng, Lubin
    Wu, Dongrui
    2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2021, : 1947 - 1952
  • [3] Multi-task Regression using Minimal Penalties
    Solnon, Matthieu
    Arlot, Sylvain
    Bach, Francis
    JOURNAL OF MACHINE LEARNING RESEARCH, 2012, 13 : 2773 - 2812
  • [4] A deep multimodal network for multi-task trajectory prediction
    Lei, Da
    Xu, Min
    Wang, Shuaian
    INFORMATION FUSION, 2025, 113
  • [5] Deep Multi-task Learning for Air Quality Prediction
    Wang, Bin
    Yan, Zheng
    Lu, Jie
    Zhang, Guangquan
    Li, Tianrui
    NEURAL INFORMATION PROCESSING (ICONIP 2018), PT V, 2018, 11305 : 93 - 103
  • [6] Multimodal radiotherapy dose prediction using a multi-task deep learning model
    Maniscalco, Austen
    Mathew, Ezek
    Parsons, David
    Visak, Justin
    Arbab, Mona
    Alluri, Prasanna
    Li, Xingzhe
    Wandrey, Narine
    Lin, Mu-Han
    Rahimi, Asal
    Jiang, Steve
    Nguyen, Dan
    MEDICAL PHYSICS, 2024, 51 (06) : 3932 - 3949
  • [7] Wind Power Prediction using Multi-Task Gaussian Process Regression with Lagged Inputs
    Avila, Francisco Jara
    Verstraeten, Timothy
    Vratsinis, Konstantinos
    Nowe, Ann
    Helsen, Jan
    WAKE CONFERENCE 2023, 2023, 2505
  • [8] DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome
    Azarkhalili, Behrooz
    Saberi, Ali
    Chitsaz, Hamidreza
    Sharifi-Zarchi, Ali
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [9] DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome
    Behrooz Azarkhalili
    Ali Saberi
    Hamidreza Chitsaz
    Ali Sharifi-Zarchi
    Scientific Reports, 9
  • [10] A Deep Multi-Task Network to Learn Tumor Pathological Representations for Lymph Node Metastasis Prediction
    Hu, Danqing
    Liu, Bing
    Cheng, Lechao
    Guo, Rui
    Wang, Jin
    Lu, Xudong
    Wu, Nan
    MEDINFO 2023 - THE FUTURE IS ACCESSIBLE, 2024, 310 : 906 - 910