A Systematic Investigation on Deep Architectures for Automatic Skin Lesions Classification-Reference-Cited by-同舟云学术

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A Systematic Investigation on Deep Architectures for Automatic Skin Lesions Classification

Published:2021-01-10 Issue: Volume: Page:
ISSN:
Container-title:2020 25th International Conference on Pattern Recognition (ICPR)
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Author:

Carcagni Pierluigi,Leo Marco,Celeste Giuseppe,Distante Cosimo,Cuna Andrea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9411940/9411911/09412789.pdf?arnumber=9412789

Cited by 6 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. Enhancing skin lesion classification with advanced deep learning ensemble models: a path towards accurate medical diagnostics;Current Problems in Cancer;2024-04

2. An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading;Sensors;2023-05-08

3. Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction;Journal of Digital Imaging;2023-05-02

4. CNN-based Recognition of Skin Cancer Using Contrast Limited Adaptive Histogram Equalization;Micro-Electronics and Telecommunication Engineering;2023

5. Performance Analysis of State-of-the-Art CNN Architectures for LUNA16;Sensors;2022-06-11

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