Intelligent Data Analytics for Diagnosing Melanoma Skin Lesions via Deep Learning in IoT System
Melanoma is considered to be one of the most dangerous human malignancy, which is diagnosed visually or by dermoscopic analysis and histopathological examination. However, as these traditional methods are based on human experience and implemented manually, there have been great limitations for gener...
Saved in:
Main Authors: | Shixiang Zhang, Shuaiqi Huang, Hongkai Wu, Zicong Yang, Yinda Chen |
---|---|
Format: | article |
Language: | EN |
Published: |
Hindawi Limited
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/bc0bca85f77f4f99a85732b47d3b9f3d |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Generative Adversarial Network Model Based on Intelligent Data Analytics for Music Emotion Recognition under IoT
by: I.-Sheng Huang, et al.
Published: (2021) -
A two‐layer attack‐robust protocol for IoT healthcare security
by: Sharafi Afsaneh, et al.
Published: (2021) -
Industrial Internet Federated Learning Driven by IoT Equipment ID and Blockchain
by: Xu Zhang, et al.
Published: (2021) -
Research on the Ranked Searchable Encryption Scheme Based on an Access Tree in IoTs
by: Yan-Yan Yang, et al.
Published: (2021) -
A Survey of IoT Stream Query Execution Latency Optimization within Edge and Cloud
by: Fatima Abdullah, et al.
Published: (2021)