Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning

The rapidly emerging field of deep learning-based computational pathology has demonstrated promise in developing objective prognostic models from histology whole slide images. However, most prognostic models are either based on histology or genomics alone and do not address how histology and genomic...

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Veröffentlicht in:	arXiv.org 2021-08
Hauptverfasser:	Chen, Richard J, Lu, Ming Y, Williamson, Drew F K, Chen, Tiffany Y, Lipkova, Jana, Shaban, Muhammad, Shady, Maha, Williams, Mane, Joo, Bumjin, Noor, Zahra, Mahmood, Faisal
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biomarkers Cancer Deep learning Genomics Histology Lymphocytes Machine learning Medical imaging Medical prognosis Morphology Mutation Pathology Prognosis
Online-Zugang:	Volltext
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