At present, the best way to detect melanoma based on an image of a skin spot is to count the number of different colors in this image. A recent paper has shown that the detection can improve if instead of the number of colors, we use the difference between numbers of colors computed by using different thresholds. In this paper, we provide a possible fractal-based explanation for this empirical fact
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
Melanoma occurrence rates contain be increasing for the earlier 3 decades. The majority folks analyz...
Fuzzy logic image analysis techniques were used to analyze three shades of blue (lavender blue, ligh...
Abstract Computational intelligence is finding more and more applications in computer aided diagnost...
Today’s the skin cancer and related cancer was interested among the researcher. Fractal and multi fr...
Early detection of melanoma has critical importance for the success of the treatment. However, a suc...
28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR...
The incidence of the cutaneous malignant melanoma is increasing rapidly in the world [Ferlay J, Bray...
Background: Skin lesion colour is an important feature for diagnosing malignant melanoma. Colour his...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
This thesis offers an insight into skin cancer detection, focusing on the extraction of distinct fea...
A growing literature shows researcher's interest in fractal analysis, arising from its ability to de...
Detection of melanoma remains an empirical clinical science. New tools for automatic discrimination ...
Melanoma is a form of a skin cancer, which can be deadly if not treated in the early stages. It is b...
Background: Malignant melanoma, the most deadly form of skin cancer, has a good prognosis if treated...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
Melanoma occurrence rates contain be increasing for the earlier 3 decades. The majority folks analyz...
Fuzzy logic image analysis techniques were used to analyze three shades of blue (lavender blue, ligh...
Abstract Computational intelligence is finding more and more applications in computer aided diagnost...
Today’s the skin cancer and related cancer was interested among the researcher. Fractal and multi fr...
Early detection of melanoma has critical importance for the success of the treatment. However, a suc...
28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR...
The incidence of the cutaneous malignant melanoma is increasing rapidly in the world [Ferlay J, Bray...
Background: Skin lesion colour is an important feature for diagnosing malignant melanoma. Colour his...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
This thesis offers an insight into skin cancer detection, focusing on the extraction of distinct fea...
A growing literature shows researcher's interest in fractal analysis, arising from its ability to de...
Detection of melanoma remains an empirical clinical science. New tools for automatic discrimination ...
Melanoma is a form of a skin cancer, which can be deadly if not treated in the early stages. It is b...
Background: Malignant melanoma, the most deadly form of skin cancer, has a good prognosis if treated...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
Melanoma occurrence rates contain be increasing for the earlier 3 decades. The majority folks analyz...
Fuzzy logic image analysis techniques were used to analyze three shades of blue (lavender blue, ligh...