Malignant melanoma diagnosis applying a machine learning method based on the combination of nonlinear and texture features
Skin cancer affects people of all skin tones, including those with darker complexions.
Melanomas are known as malignant tumors of skin cancer, resulting in an adverse …
Melanomas are known as malignant tumors of skin cancer, resulting in an adverse …
[HTML][HTML] Diagnosis of skin cancer by correlation and complexity analyses of damaged DNA
Skin cancer is a common, low-grade cancerous (malignant) growth of the skin. It starts from
cells that begin as normal skin cells and transform into those with the potential to reproduce …
cells that begin as normal skin cells and transform into those with the potential to reproduce …
Nonlinear analysis of the contour boundary irregularity of skin lesion using Lyapunov exponent and KS entropy
Measuring the contour boundary irregularities of skin lesion is an important factor in early
detection of malignant melanoma. On the other hand, cancer is usually recognized as a …
detection of malignant melanoma. On the other hand, cancer is usually recognized as a …
Fractal fluctuations and quantum-like chaos in the brain by analysis of variability of brain waves: A new method based on a fractal variance function and random matrix …
E Conte, A Khrennikov, A Federici, JP Zbilut - Chaos, Solitons & Fractals, 2009 - Elsevier
We develop a new method for analysis of fundamental brain waves as recorded by the EEG.
To this purpose we introduce a Fractal Variance Function that is based on the calculation of …
To this purpose we introduce a Fractal Variance Function that is based on the calculation of …
Presenting a three layer stacking ensemble classifier of deep learning and machine learning for skin cancer classification
BJ Tabaghsar, R Tavoli, MMA Toosi - Multimedia Tools and Applications, 2024 - Springer
One of the most common types of cancer in the world is skin cancer. Despite the different
types of skin diseases with different shapes, the classification of skin diseases is a very …
types of skin diseases with different shapes, the classification of skin diseases is a very …
Classification of skin moles from optical spectropolarimetric images: a pilot study
L Graham, Y Yitzhaky… - Journal of biomedical …, 2013 - spiedigitallibrary.org
A new skin-imaging method, which was developed recently, gives an informative image data
about skin moles by collecting scattered polarized light reflected from their tissue area at …
about skin moles by collecting scattered polarized light reflected from their tissue area at …
Nanoscale prognosis of colorectal cancer metastasis from AFM image processing of histological sections
Simple Summary This work advances colorectal cancer (CRC) metastatic prognosis by
identifying morphological metastatic markers from image processing of atomic force …
identifying morphological metastatic markers from image processing of atomic force …
Parameterization of dermoscopic findings for the internet-based melanoma screening system
In this paper, we develop an automated method to recognize the dermoscopic criteria used
for diagnosing melanomas as defined by two commonly used diagnostic schemes, namely …
for diagnosing melanomas as defined by two commonly used diagnostic schemes, namely …
A new method based on fractal variance function for analysis and quantification of sympathetic and vagal activity in variability of R–R time series in ECG signals
E Conte, A Federici, JP Zbilut - Chaos, Solitons & Fractals, 2009 - Elsevier
It is known that R–R time series calculated from a recorded ECG, are strongly correlated to
sympathetic and vagal regulation of the sinus pacemaker activity. In human physiology it is a …
sympathetic and vagal regulation of the sinus pacemaker activity. In human physiology it is a …
Noise dependency of algorithms for calculating fractal dimensions in digital images
MA Reiss, N Sabathiel, H Ahammer - Chaos, Solitons & Fractals, 2015 - Elsevier
Fractal properties of real world objects are commonly examined in digital images. Digital
images are discrete representations of objects or scenes and are unavoidably contaminated …
images are discrete representations of objects or scenes and are unavoidably contaminated …