Deep neural networks for classification of dermatological images with multiple skin lesions-Reference-Cited by-同舟云学术

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Deep neural networks for classification of dermatological images with multiple skin lesions

Published:2022-06-16 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Communications (COMM)
language:
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Author:

Oniga Maria¹,Micu Razvan-Florian²,Griparis Andreea³

Affiliation:

1. University Politehnica of Bucharest,Faculty of Automatic Control and Computer Science,Bucharest,Romania

2. University Politehnica of Bucharest,Faculty of Electronics Telecommunications and Information Technology,Bucharest,Romania

3. Research Center for Spatial Information, University Politehnica of Bucharest,Bucharest,Romania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9817096/9817149/09817233.pdf?arnumber=9817233

Reference22 articles.

1. Dermoscopic image classification using CNN with Handcrafted features

2. BILSK: A bilinear convolutional neural network approach for skin lesion classification

3. Ensembles of Convolutional Neural Networks for Skin Lesion Dermoscopy Images Classification

4. Skin lesion classification in dermoscopic images using stacked Convolutional Neural Network

5. Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support

Cited by 1 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 Interpretable Deep Learning Model for Skin Lesion Classification;Communications in Computer and Information Science;2023

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