Saliency-based segmentation of dermoscopic images using colour information-Reference-Cited by-同舟云学术

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Saliency-based segmentation of dermoscopic images using colour information

Published:2021-12-09 Issue: Volume: Page:1-15
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Ramella Giuliana¹^ORCID

Affiliation:

1. National Research Council, Institute for the Application of Calculus, Naples, Italy

Funder

Gruppo Nazionale di Calcolo Scientifico

Istituto Nazionale di Alta Matematica

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2021.2003248

Reference74 articles.

1. Automated skin lesion segmentation using K-Means clustering from digital dermoscopic images

2. Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images

3. Complex networks driven salient region detection based on superpixel segmentation

4. A fully automatic one-scan adaptive zooming algorithm for color images

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1. Multi-headed U-Net: an automated nuclei segmentation technique using Tikhonov filter-based unsharp masking;Smart Science;2024-07-10

2. Dermoscopic dark corner artifacts removal: Friend or foe?;Computer Methods and Programs in Biomedicine;2024-02

3. Automatic Detection and Classification of Hypertensive Retinopathy with Improved Convolution Neural Network and Improved SVM;Bioengineering;2024-01-05

4. Individual tooth segmentation in human teeth images using pseudo edge-region obtained by deep neural networks;Signal Processing: Image Communication;2024-01

5. Impact of a generalised SVG-based large-scale super-resolution algorithm on the design of light-weight medical image segmentation DNNs;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-10-11

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