Add to ORKGIn this research, image analysis techniques are explored to determine key color and texture features for discrimination in dermatology and cervix color images. In dermatology dermoscopy images, fuzzy logic-based color histogram analysis using various fuzzy aggregator operators is investigated to discriminate benign skin lesions from malignant melanomas --Abstract, page iii
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. New basis f...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
Fuzzy logic image analysis techniques were used to analyze three shades of blue (lavender blue, ligh...
Malignant melanoma is one of the deadliest forms of skin cancer and is one of the most rapidly incre...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
“Melanoma is a form of a skin cancer that can be deadly if not treated in the early stages. Imaging ...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
Blotches, also called structureless areas, are critical in differentiating malignant melanoma from b...
Blotches, also called structureless areas, are critical in differentiating malignant melanoma from b...
Blotches, also called structureless areas, are critical in differentiating malignant melanoma from b...
This thesis offers an insight into skin cancer detection, focusing on the extraction of distinct fea...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. New basis f...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
Fuzzy logic image analysis techniques were used to analyze three shades of blue (lavender blue, ligh...
Malignant melanoma is one of the deadliest forms of skin cancer and is one of the most rapidly incre...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
“Melanoma is a form of a skin cancer that can be deadly if not treated in the early stages. Imaging ...
A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin l...
Blotches, also called structureless areas, are critical in differentiating malignant melanoma from b...
Blotches, also called structureless areas, are critical in differentiating malignant melanoma from b...
Blotches, also called structureless areas, are critical in differentiating malignant melanoma from b...
This thesis offers an insight into skin cancer detection, focusing on the extraction of distinct fea...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. In previous...
Background: Skin lesion color is an important feature for diagnosing malignant melanoma. New basis f...