Deep transfer learning approaches for Monkeypox disease diagnosis-Reference-Cited by-同舟云学术

Deep transfer learning approaches for Monkeypox disease diagnosis

Published:2023-04 Issue: Volume:216 Page:119483
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ahsan Md Manjurul^ORCID,Uddin Muhammad Ramiz^ORCID,Ali Md Shahin^ORCID,Islam Md Khairul^ORCID,Farjana Mithila^ORCID,Sakib Ahmed Nazmus^ORCID,Momin Khondhaker Al^ORCID,Luna Shahana Akter^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference109 articles.

1. An optimized model using LSTM network for demand forecasting;Abbasimehr;Computers & Industrial Engineering,2020

2. Classification of monkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm;Abdelhamid;Mathematics,2022

3. Clinical features and management of human monkeypox: a retrospective observational study in the UK;Adler;The Lancet Infectious Diseases,2022

4. Detecting SARS-CoV-2 from chest X-Ray using artificial intelligence;Ahsan;Ieee Access,2021

5. Deep MLP-CNN model using mixed-data to distinguish between COVID-19 and Non-COVID-19 patients;Ahsan;Symmetry,2020

Cited by 61 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. MOX-NET: Multi-stage deep hybrid feature fusion and selection framework for monkeypox classification;Expert Systems with Applications;2024-12

2. Defect analysis of 3D printed object using transfer learning approaches;Expert Systems with Applications;2024-11

3. Emerging Trends in Applying Artificial Intelligence to Monkeypox Disease: A Bibliometric Analysis;Applied Data Science and Analysis;2024-09-08

4. UPFormer: U-sharped Perception lightweight Transformer for segmentation of field grape leaf diseases;Expert Systems with Applications;2024-09

5. An optimized fusion of deep learning models for kidney stone detection from CT images;Journal of King Saud University - Computer and Information Sciences;2024-09