Deep learning classification of inverted papilloma malignant transformation using 3D convolutional neural networks and magnetic resonance imaging-Reference-Cited by-同舟云学术

Deep learning classification of inverted papilloma malignant transformation using 3D convolutional neural networks and magnetic resonance imaging

Published:2022-01-18 Issue:8 Volume:12 Page:1025-1033
ISSN:2042-6976
Container-title:International Forum of Allergy & Rhinology
language:en
Short-container-title:Int Forum Allergy Rhinol

Author:

Liu George S.¹^ORCID,Yang Angela¹,Kim Dayoung¹,Hojel Andrew²,Voevodsky Diana³,Wang Julia⁴,Tong Charles C.L.⁵,Ungerer Heather⁵,Palmer James N.⁵,Kohanski Michael A.⁵,Nayak Jayakar V.¹^ORCID,Hwang Peter H.¹,Adappa Nithin D.⁵,Patel Zara M.¹^ORCID

Affiliation:

1. Department of Otolaryngology‐Head and Neck Surgery Stanford University School of Medicine Stanford CA

2. Department of Computer Science Stanford University Stanford CA

3. Department of Mathematics Stanford University Stanford CA

4. Department of Electrical Engineering Stanford University Stanford CA

5. Department of Otolaryngology‐Head and Neck Surgery University of Pennsylvania School of Medicine Philadelphia PA

Publisher

Wiley

Subject

Otorhinolaryngology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/alr.22958

Reference22 articles.

1. Sinonasal inverted papillomas: recurrence, and synchronous and metachronous malignancy

2. Clinical value of office-based endoscopic incisional biopsy in diagnosis of nasal cavity masses

3. Focal hyperostosis on CT of sinonasal inverted papilloma as a predictor of tumor origin;Lee DK;Am J Neuroradiol,2007

4. Imaging predictors for malignant transformation of inverted papilloma

5. Potentially Distinctive Features of Sinonasal Inverted Papilloma on MR Imaging

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