Optimized Convolutional Neural Network Models for Skin Lesion Classification-Reference-Cited by-同舟云学术

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Optimized Convolutional Neural Network Models for Skin Lesion Classification

Published:2022 Issue:2 Volume:70 Page:2131-2148
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Pablo Villa-Pulgarin Juan,Alberto Ruales-Torres Anderson,Arias-Garz髇 Daniel,Alejandro Bravo-Ortiz Mario,Brayan Arteaga-Arteaga Harold,Mora-Rubio Alejandro,Alejandro Alzate-Grisales Jesus,Mercado-Ruiz Esteban,Hassaballah M.,Orozco-Arias Simon,Cardona-Morales Oscar,Tabares-Soto Reinel

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modelling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v70n2/44641/pdf

Cited by 26 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. An effective multiclass skin cancer classification approach based on deep convolutional neural network;Cluster Computing;2024-06-17

2. Artificial intelligence in the detection of skin cancer: State of the art;Clinics in Dermatology;2024-05

3. Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models;PLOS ONE;2024-03-21

4. Medical image identification methods: A review;Computers in Biology and Medicine;2024-02

5. Melanoma identification and classification model based on fine-tuned convolutional neural network;DIGITAL HEALTH;2024-01

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