Automatic classification of skin burn colour images using texture‐based feature extraction

Author:

Şevik Uğur1,Karakullukçu Erdinç1,Berber Tolga1,Akbaş Yeşim1,Türkyılmaz Serdar2

Affiliation:

1. Department of Statistics and Computer SciencesKaradeniz Technical UniversityTrabzonTurkey

2. Department of General SurgeryKaradeniz Technical UniversityTrabzonTurkey

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2. 2003 Int. Conf. on Information Processing in Medical Imaging Ambleside UK B. Acha C. Serrano J.I. Acha CAD tool for burn diagnosis 294 305

3. 2004 Medical Imaging 2004: Image Processing San Diego USA B. Acha C. Serrano S. Palencia Classification of burn wounds using support vector machines 1018 1026

4. Segmentation and classification of burn images by color and texture information;Acha B.;J. Biomed. Opt.,2005

5. A computer assisted diagnosis tool for the classification of burns by depth of injury;Serrano C.;Burns,2005

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