Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer-Reference-Cited by-同舟云学术

Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer

Published:2023-02 Issue: Volume:84 Page:102702
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Zhou Yufei^ORCID,Koyuncu Can^ORCID,Lu Cheng,Grobholz Rainer^ORCID,Katz Ian,Madabhushi Anant^ORCID,Janowczyk Andrew

Funder

National Heart Lung and Blood Institute

National Cancer Institute

National Institute of Diabetes and Digestive and Kidney Diseases

National Institute of Biomedical Imaging and Bioengineering

Department of Veterans Affairs

National Center for Research Resources

Office of the Assistant Secretary of Defense for Health Affairs

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference49 articles.

1. Aitken, A., Ledig, C., Theis, L., Caballero, J., Wang, Z., Shi, W., 2017. Checkerboard artifact free sub-pixel convolution: a note on sub-pixel convolution, resize convolution and convolution resize.

2. Arora, S., Hu, W., Kothari, P.K., 2018. An analysis of the t-SNE algorithm for data visualization.

3. Residual cyclegan for robust domain transformation of histopathological tissue slides;Bel;Med. Image Anal.,2021

4. Rapid cytological diagnosis of basal cell carcinoma of the skin;Brown;J. Clin. Pathol.,1979

5. Quantitative assessment of the effects of compression on deep learning in digital pathology image analysis;Chen;JCO Clin. Cancer Inform.,2020

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A classification method embedding atypical patterns for distinguishing tumor subtypes in PET/CT images;Biomedical Signal Processing and Control;2024-10

2. Learning generalizable AI models for multi-center histopathology image classification;npj Precision Oncology;2024-07-19

3. Artificial intelligence for nonmelanoma skin cancer;Clinics in Dermatology;2024-06

4. Deep Learning and Crow Search to Detect Skin Cancer in Dermoscopic Images;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

5. Health Care Intelligent System: Deep Residual Network Powered by Data Augmentation for Automatic Melanoma Image Classification;Advances in Science, Technology & Innovation;2024