[PDF] Top 20 Automatic analysis of skin lesions in dermoscopy images: feature extraction and classification
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Automatic analysis of skin lesions in dermoscopy images: feature extraction and classification
... benign skin lesions are the melanocytic nevi, or ...proliferations of a type of melanocyte known as a ―nevus cell‖ (Schaffer & Bolognia, ...reside in the basal layer of the ... See full document
125
A review of the quantification and classification of pigmented skin lesions: from dedicated to hand-held devices
... color and shape features (e.g., hull/contour ratio, circularity index), and employs a k-NN classifier for ...sensitivity and 80.5% specificity for malignancy, for an average processing time of ... See full document
34
Nonlinear smoothing of skin lesions images driven by derivative filters
... problem of the methods for image smoothing based on the anisotropic diffusion technique is that frequently the noise and the borders presented in the input images have characteristics that are ... See full document
6
An analysis on segmentation methods for skin lesions
... removal of the noise presented in the input images, but too many iterations tend to affect the original irregularities of the lesions’ ...amount of noise presented in ... See full document
6
Automatic Lung Nodule Classification in Chest Computerized Tomography Images
... prominent in malignant nodules than in benign ones and vice ...each feature, it was determined whether there were any significant differences in the proportion of malignant ... See full document
127
Segmentation and Classification of Tumour in Computed Tomography Liver Images for Detection, Analysis and Preoperative Planning
... shown in Fig. 1. It consists of image database, segmentation, feature extraction and classification ...modules. In segmentation module, the selection of ROI from ... See full document
6
UNLABELED SELECTED SAMPLES IN FEATURE EXTRACTION FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES WITH LIMITED TRAINING SAMPLES
... component analysis (PCA) (Fukunaga, 1990) and locality preserving projection (LPP) (He and Niyogi, 2004) are Commonly used unsupervised feature extraction ...pixels in ... See full document
6
Extraction of skin lesions contours using anisotropic diffusion and active contour model without edges
... the skin cancer appears as one of the most cancer types common in ...level of predominance of the skin cancer case has motivated the search and the development of ... See full document
18
Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm
... Zoumpoulis, and 817 I. Theotokas, “Computer assisted characterization of diffused liver disease 818 using image texture analysis techniques on B-scan images,” in Proceedings 819 ... See full document
11
Automatic quantification and classification of breast density in 2D ultrasound images
... density and the risk of breast ...presence of higher or lower amounts of fat in the breast ...all of the proposed methods were developed for mammograms [15-39], and only a ... See full document
105
Automatic Analysis of Mammography Images: Classification of Breast Density
... differential analysis of bilateral mammographic ...registered images, and the second method was based on the statistical differences between properties of corresponding ...mammographic ... See full document
110
Feature Extraction for Image Classification and Analysis with Ant Colony Optimization Using Fuzzy Logic Approach
... unsupervised feature extraction method and new image segmentation methods have been ...features extraction and segmentation using the fuzzy ...set of inference rules. The results ... See full document
7
A Novel Feature Extraction Scheme for Medical X-Ray Images
... X-ray images are gray scale images with almost the same textural ...categorization in medical x-ray image ...combination of methods like GLCM, LBP and HOG for extracting distinctive ... See full document
8
Feature Extraction based Face Recognition, Gender and Age Classification
... Moghaddam and Ming-Hsuan [16] developed an appearance based method to classify gender from facial images using nonlinear SVMs and compared their performance with traditional classifiers and ... See full document
10
Comparative Analysis of Feature Extraction Methods for the Classification of Prostate Cancer from TRUS Medical Images
... well-founded in modern statistical learning theory ...Vapnik and his colleagues. The earliest mention was in (Vapnik, ...A classification task usually involves with training and testing ... See full document
9
Feature Extraction and Selection in Automatic Sleep Stage Classification
... levels of similarity, a feature selection method was proposed in this ...pair of feature vectors is calculated, then considering the range of the extracted L1-norm, a similarity ... See full document
177
A novel approach to segment skin lesions in dermoscopic images based on a deformable model
... Abstract— Dermoscopy is an imaging technique that has been widely used in the diagnosis of skin ...required. In this paper, a novel approach based on a deformable model is proposed to ... See full document
10
Automatic computational scheme for segmentation, volumetric assessment and analysis of multiple sclerosis lesions in magnetic resonance images of the human brain
... (0.84) and outperformed five other automatic segmentation techniques ( HAVEI et ...variable and independent of the total num- ber of white matter lesions, and stated their ... See full document
188
Analysis of Temporal Variations in Dermoscopy Images of Pigmented Skin Lesions by Machine Learning Techniques
... role in human visual perception of skin lesions and is very helpful for their recognition and ...malignant and benign ...model- and filter- based approaches [50]. ... See full document
64
Feature extraction and selection for automatic hate speech detection on Twitter
... consisted of extracting and selecting the text-based features that would improve the detection of hate speech in text, with special attention to ...collection of the most commonly ... See full document
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