A mathematical analysis of the ABCD criteria for diagnosing malignant melanoma

Lee, Hyunju; Kwon, Kiwoon

doi:10.1088/1361-6560/aa562f

Cited by 6 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Canny method is a well-known difference based method. This method is used in [27] and named the 'Edge-imfill method' in the paper.…”

Section: Canny Methods [10]mentioning

confidence: 99%

Two Segmentation Methods for the Diagnosis of Malignant Melanoma

Park¹,

Lee²,

Kwon³

2020

Preprint

Self Cite

View full text Add to dashboard Cite

Automatic diagnosis of malignant melanoma highly depends on the segmentation methods used for the suspicious lesion. We suggest the parameter selection method (PSM) and maximum area method (MAM) for the segmentation of the lesion to be diagnosed. Herein, these segmentation methods are compared to a skin cancer expert's segmentation and three other conventional algorithms. The diagnosis of malignant melanoma based on the two suggested, three conventional, and expert's segmentation are compared with respect to sensitivity, specificity, and accuracy.

show abstract

“…The Canny method is a well-known difference based method. This method is used in [27] and named the 'Edge-imfill method' in the paper.…”

Section: Canny Methods [10]mentioning

confidence: 99%

Two Segmentation Methods for the Diagnosis of Malignant Melanoma

Park¹,

Lee²,

Kwon³

2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Those pictures allow the classification of melanoma growth rates and naevi symmetry [68]. The ABCD criteria for asymmetry, border irregularity, color variation, and diameter of melanoma have been mathematically considered too [69].…”

Section: Pattern Recognition Of Melanomamentioning

confidence: 99%

Computational models of melanoma

Albrecht

Lucarelli

Kulms

et al. 2020

Theor Biol Med Model

View full text Add to dashboard Cite

Genes, proteins, or cells influence each other and consequently create patterns, which can be increasingly better observed by experimental biology and medicine. Thereby, descriptive methods of statistics and bioinformatics sharpen and structure our perception. However, additionally considering the interconnectivity between biological elements promises a deeper and more coherent understanding of melanoma. For instance, integrative network-based tools and well-grounded inductive in silico research reveal disease mechanisms, stratify patients, and support treatment individualization. This review gives an overview of different modeling techniques beyond statistics, shows how different strategies align with the respective medical biology, and identifies possible areas of new computational melanoma research.

show abstract

“…It enables magnified visualization of the skin fragment, measurement of the nevi size, and to make a judgment on its benign or malignant form. The attributes of melanoma-evaluated nevi are known as ABCD, which stands for asymmetry, border irregularity, color, and diameter [9]. Moreover, the growth of the nevi in size, compared with the former examination result, is also used as an indicator of possible malignancy.…”

Section: Introductionmentioning

confidence: 99%

Orthorectification of Skin Nevi Images by Means of 3D Model of the Human Body

Szczypiński

Sprawka

2021

Sensors

View full text Add to dashboard Cite

Melanoma is the most lethal form of skin cancer, and develops from mutation of pigment-producing cells. As it becomes malignant, it usually grows in size, changes proportions, and develops an irregular border. We introduce a system for early detection of such changes, which enables whole-body screening, especially useful in patients with atypical mole syndrome. The paper proposes a procedure to build a 3D model of the patient, relate the high-resolution skin images with the model, and orthorectify these images to enable detection of size and shape changes in nevi. The novelty is in the application of image encoding indices and barycentric coordinates of the mesh triangles. The proposed procedure was validated with a set of markers of a specified geometry. The markers were attached to the body of a volunteer and analyzed by the system. The results of quantitative comparison of original and corrected images confirm that the orthorectification allows for more accurate estimation of size and proportions of skin nevi.

show abstract

A mathematical analysis of the ABCD criteria for diagnosing malignant melanoma

Cited by 6 publications

References 20 publications

Two Segmentation Methods for the Diagnosis of Malignant Melanoma

Two Segmentation Methods for the Diagnosis of Malignant Melanoma

Computational models of melanoma

Orthorectification of Skin Nevi Images by Means of 3D Model of the Human Body

Contact Info

Product

Resources

About