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- Automated Segmentation of Psoriasis in Uncontrolled Environments Using . . .
In this study, different machine learning-based segmentation methods are investigated for identifying psoriasis-affected skin regions in images acquired under uncontrolled conditions
- PsLSNet: Automated psoriasis skin lesion segmentation using modified U . . .
In view of this, we present an automated psoriasis lesion segmentation method based on a modified U-Net architecture, referred as PsLSNet The architecture consists of a 29-layer deep fully convolutional network, for extracting spatial information automatically
- Automatic Segmentation of Psoriasis Skin Images Using Adaptive Chimp . . .
Psoriasis is a severe skin disease that is surveyed outwardly by dermatologists In recent years, computer vision is the major solution for diagnosing the psoriasis skin disease by segmenting the infected skin images Besides, many researchers had
- A deep learning-based dual-branch framework for automated skin lesion . . .
In this paper, we develop a dual-branch deep learning framework that simultaneously performs skin lesion segmentation and classification from dermoscopic images
- Automatic Segmentation of Psoriasis Skin Images Using . . . - Springer
Thus, in this work, we present adaptive chimp optimization algorithm (AChOA)–based convolutional neural network (CNN) which is introduced for automatic segmentation of psoriasis skin images
- Automatic Psoriasis Lesion Segmentation from Raw Color Images using . . .
Psoriasis is a chronic skin disease having raised, red, and scaly patches over the different regions of the human body The segmentation of psoriasis lesions is
- A review of psoriasis image analysis based on machine learning
Commonly used lesion segmentation methods include edge-based segmentation methods, region-based segmentation methods, and DL-based segmentation methods Among them, DL-based methods have achieved good results in many fields due to their powerful feature extraction capabilities and adaptability
- 107 Smart Imaging and Deep Learning for Objective Psoriasis Lesion . . .
The assessment of psoriasis severity requires detailed, and robust lesion segmentation and tissue classification This proof-of-concept study aimed to automate the classification of psoriasis disease severity on skin lesions using sophisticated deep learning algorithms
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