Classification and Detection of Cyanosis Images on Lightly and Darkly Pigmented Individual Human Skins using a Fine-Tuned MobileNet Architecture
Author:
Affiliation:
1. University of Johannesburg,Faculty of Engineering and the Built Environment and Electrical and Electronic Engineering Science,Johannesburg,South Africa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10220343/10220448/10220464.pdf?arnumber=10220464
Reference21 articles.
1. Classification of Skin Cancer Dermoscopy Images using Transfer Learning
2. The Classification and detection of cyanosis images on lightly and darkly pigmented individual human skins applying simple CNN and Fine-Tuned VGG16 models in Tensor Flow's Keras AP;mpova;IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)-Session 4 Technology innovations in neuroscience A special focus on neurosurgery,0
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