Artificial intelligence in dermatopathology: Diagnosis, education, and research-Reference-Cited by-同舟云学术

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Artificial intelligence in dermatopathology: Diagnosis, education, and research

Published:2021-01-26 Issue:8 Volume:48 Page:1061-1068
ISSN:0303-6987
Container-title:Journal of Cutaneous Pathology
language:en
Short-container-title:J Cutan Pathol

Author:

Wells Amy¹,Patel Shaan²,Lee Jason B.³,Motaparthi Kiran¹^ORCID

Affiliation:

1. Department of Dermatology University of Florida College of Medicine Gainesville Florida USA

2. Department of Dermatology Temple University Lewis Katz School of Medicine Philadelphia Pennsylvania USA

3. Department of Dermatology and Cutaneous Biology Sidney Kimmel Medical College at Thomas Jefferson University Philadelphia Pennsylvania USA

Publisher

Wiley

Subject

Dermatology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cup.13954

Reference25 articles.

1. Deep learning assisted mitotic counting for breast cancer

2. Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network

3. Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies

4. Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies

5. Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images

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4. Tissue Classification After Bone-Anchored Hearing Implant Surgery: A Machine Learning Approach to Monitoring Skin Response;Otology & Neurotology;2024-08

5. Emerging Applications of Artificial Intelligence in Dermatopathology;Current Dermatology Reports;2024-06-17

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