Image analysis in advanced skin imaging technology-Reference-Cited by-同舟云学术

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Image analysis in advanced skin imaging technology

Published:2023-08 Issue: Volume:238 Page:107599
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Bi Lei,Celebi M. Emre,Iyatomi Hitoshi,Fernandez-Penas Pablo,Kim Jinman

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference25 articles.

1. The incidence of malignant melanoma in the United States: issues as we approach the 21st century;Rigel;J. Am. Acad. Dermatol.,1996

2. Step-wise integration of deep class-specific learning for dermoscopic image segmentation;Bi;Pattern Recognit.,2019

3. A methodological approach to the classification of dermoscopy images;Celebi;Comput. Med. Imaging Graph.,2007

4. Multi-label classification of multi-modality skin lesion via hyper-connected convolutional neural network;Bi;Pattern Recognit.,2020

5. Evaluation of the efficacy of 3D total-body photography with sequential digital dermoscopy in a high-risk melanoma cohort: protocol for a randomised controlled trial;Primiero;BMJ open,2019

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2. DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework;Scientific Reports;2024-01-05

3. A Preliminary Research on Automatic Identification of Melanocytic Skin Lesions from Digital Images;Procedia Computer Science;2023

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