A Deep Learning Model for Classification of Parotid Neoplasms Based on Multimodal Magnetic Resonance Image Sequences-Reference-Cited by-同舟云学术

A Deep Learning Model for Classification of Parotid Neoplasms Based on Multimodal Magnetic Resonance Image Sequences

Author:

Liu Xu¹²^ORCID,Pan Yucheng³,Zhang Xin¹²,Sha Yongfang¹²,Wang Shihui⁴,Li Hongzhe⁵⁶^ORCID,Liu Jianping¹²

Affiliation:

1. ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital Fudan University Shanghai China

2. ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital NHC Key Laboratory of Hearing Medicine (Fudan University) Shanghai China

3. Department of Radiology, Eye & ENT Hospital Fudan University Shanghai China

4. Lab of Sensing and Computing Shanghai Advanced Research Institute, Chinese Academy of Sciences Shanghai China

5. Research Service, VA Loma Linda Healthcare System Loma Linda California U.S.A.

6. Department of Otolaryngology–Head and Neck Surgery Loma Linda University School of Medicine Loma Linda California U.S.A.

Funder

Rehabilitation Research and Development Service

Publisher

Wiley

Subject

Otorhinolaryngology

Link

Reference33 articles.

2. Deep learning for pediatric posterior fossa tumor detection and classification: a multi‐institutional study;Quon JL;Am J Neuroradiol,2020

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