Towards the Mobile Detection of Cervical Lesions: A Region-Based Approach for the Analysis of Microscopic Images
Given the current prevalence and impact of cervical cancer worldwide, many technological developments focused on automating the screening process have arisen recently. Nonetheless, there is still a clear need for affordable, portable and automated IoT-based solutions to expand the coverage of curren...
Main Authors: | Ana Filipa Sampaio, Luis Rosado, Maria Joao M. Vasconcelos |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9606873/ |
Similar Items
-
Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing
by: Grzegorz Dec, et al.
Published: (2022-03-01) -
A Transfer Learning Approach for Clinical Detection Support of Monkeypox Skin Lesions
by: Maram Fahaad Almufareh, et al.
Published: (2023-04-01) -
Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions
by: Shahid Latif, et al.
Published: (2021-11-01) -
Artificial Intelligence to Solve Pervasive Internet of Things Issues /
by: Kaur, Gurjit, 1980-, editor 651728, et al.
Published: (2021) -
Artificial intelligence-based internet of things systems /
by: Pal, Souvik, editor 655049, et al.
Published: (2022)