Psoriasis severity classification based on adaptive multi-scale features for multi-severity disease
Abstract Psoriasis is a skin disease that causes lesions of various sizes across the body and can persist for years with cyclic deterioration and improvement. During treatment, and a multiple-severity disease, with irregular severity within the observation area may be found. The current psoriasis ev...
Main Authors: | Cho-I. Moon, Jiwon Lee, Yoo Sang Baek, Onesok Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-44478-9 |
Similar Items
-
Multi-Scale Feature Fusion with Adaptive Weighting for Diabetic Retinopathy Severity Classification
by: Runze Fan, et al.
Published: (2021-06-01) -
Optimization of psoriasis assessment system based on patch images
by: Cho-I. Moon, et al.
Published: (2021-09-01) -
A New Classification of the Severity of Psoriasis: What’s Moderate Psoriasis?
by: Laura Salgado-Boquete, et al.
Published: (2021-06-01) -
Histopathological Classification of Breast Cancer Images Using a Multi-Scale Input and Multi-Feature Network
by: Taimoor Shakeel Sheikh, et al.
Published: (2020-07-01) -
Adaptive Thresholding of CNN Features for Maize Leaf Disease Classification and Severity Estimation
by: Harry Dzingai Mafukidze, et al.
Published: (2022-08-01)