scholarly journals Automatic Image Characterization of Psoriasis Lesions

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2974
Author(s):  
Javier Martínez-Torres ◽  
Alicia Silva Piñeiro ◽  
Álvaro Alesanco ◽  
Ignacio Pérez-Rey ◽  
José García
Keyword(s):  
Software Tool ◽  
Skin Lesions ◽  
Contour Detection ◽  
Areal Measurement ◽  
Chronic Skin ◽  
Nipple Detection ◽  
Processing Techniques ◽  
Chronic Skin Disease

Psoriasis is a chronic skin disease that affects 125 million people worldwide and, particularly, 2% of the Spanish population, characterized by the appearance of skin lesions due to a growth of the epidermis that is seven times larger than usual. Its diagnosis and monitoring are based on the use of methodologies for measuring the severity and extent of these spots, and this includes a large subjective component. For this reason, this paper presents an automatic method for characterizing psoriasis images that is divided into four parts: image preparation or pre-processing, feature extraction, classification of the lesions, and the obtaining of parameters. The methodology proposed in this work covers different digital-image processing techniques, namely, marker-based image delimitation, hair removal, nipple detection, lesion contour detection, areal-measurement-based lesion classification, as well as lesion characterization by means of red and white intensity. The results obtained were also endorsed by a professional dermatologist. This methodology provides professionals with a common software tool for monitoring the different existing typologies, which proved satisfactory in the cases analyzed for a set of 20 images corresponding to different types of lesions.

Chromoblastomycosis in two giant ditch frogs also known as mountain chicken frogs (Leptodactylus fallax)

2019 ◽  
Vol 7 (3) ◽  
pp. e000691
Author(s):  
Martina Croci ◽  
Stefanie Klausmann ◽  
Jean-Michel Hatt ◽  
Sarah Schmitt ◽  
Monika Hilbe
Keyword(s):  
Sudden Death ◽  
Skin Disease ◽  
Fungal Pathogen ◽  
Systemic Disease ◽  
Skin Lesions ◽  
Post Mortem ◽  
Human Beings ◽  
Skeletal Musculature ◽  
Chronic Skin ◽  
Chronic Skin Disease

Because of sudden death of several frogs following the renewal of a terrarium, two giant ditch frogs (Leptodactylus fallax) were submitted for post-mortem examination. The animals displayed extensive erythematous to ulcerative skin lesions as well as multiple granulomas in the liver, kidney and skeletal musculature. In skin lesions as well as in the brownish granulomas, pigmented fungal sclerotic bodies were found in addition to pigmented hyphal structures, though less common. The fungal pathogen, although not further classified in this study was identified as the etiological agent for chromoblastomycosis (synonym: chromomycosis), a leading cause of fatal systemic disease in poikilothermic animals. It is also a cause of chronic skin disease in human beings and therefore a potential zoonotic agent.

scholarly journals The Role of Allergens in Atopic Dermatitis

2020 ◽  
Author(s):  
Suna Asilsoy ◽  
Serdar Al
Keyword(s):  
Allergic Rhinitis ◽  
Atopic Dermatitis ◽  
Allergic Diseases ◽  
Skin Lesions ◽  
Atopic Diseases ◽  
Chronic Skin ◽  
Genetic And Environmental Factors ◽  
Inhalant Allergens ◽  
Chronic Skin Disease

Atopic dermatitis (AD) is a chronic skin disease caused by genetic and environmental factors. Often it begins in early childhood. It is located at the first step of the process we refer to as atopic march. This feature is a precursor of the development of other allergic diseases such as asthma and allergic rhinitis. Especially in patients with atopy of food and inhalant allergens, the occurrence of other atopic diseases is more common. Although the role of these sensitivities in AD is controversial, it has been determined that some patients may trigger eczematous skin lesions. In this report, the role of allergens in atopic dermatitis are reviewed in the light of current literature.

scholarly journals Classification of Dermoscopic Image of Skin Cancer Using the GLCM Method and Multi-SVM Algorithm

Rekayasa ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 407-415
Author(s):  
Riyan Latifahul Hasanah ◽  
Dwiza Riana
Keyword(s):  
Skin Cancer ◽  
Correlation Energy ◽  
Texture Feature ◽  
Skin Lesions ◽  
Pigment Cells ◽  
Binary Images ◽  
Svm Algorithm ◽  
Dermoscopic Image ◽  
Processing Techniques

The development of abnormal skin pigment cells can cause a skin cancer called melanoma. Melanoma can be cured if diagnosed and treated in its early stages. Various studies using various technologies have been developed to conduct early detection of melanoma. This research was conducted to diagnose melanoma skin cancer with digital image processing techniques on the dermoscopic image of skin cancer. The diagnosis is made by classifying dermoscopic images based on the types of Common Nevus, Atypical Nevus or Melanoma. Pre-processing is done by changing the RGB image to grayscale (grayscaling), smoothing image using median filtering, and image segmentation based on binary images of skin lesions. The value of Contrast, Correlation, Energy and Homogeneity obtained from the texture feature extraction of the GLCM method is used in the next step, which is the classification process with the Multi-SVM algorithm. The proposed research method shows high accuracy results in diagnosing skin cancer

scholarly journals MODERN VIEW OF THE ETIOPATHOGENESIS AND CLASSIFICATION OF ACNE SCARRING

2017 ◽  
Vol 20 (3) ◽  
pp. 167-173
Author(s):  
Mariya N. Ostretsova
Keyword(s):  
Acne Vulgaris ◽  
Point Of View ◽  
Social Adaptation ◽  
Hypertrophic Scars ◽  
Keloid Scars ◽  
Acne Scarring ◽  
Chronic Skin ◽  
Chronic Skin Disease

Acne vulgaris is a common chronic skin disease involving blockage and inflammation of pilosebaceous units. It has a genetic predisposition and sharply reduces the quality of patients’ life and the level of their social adaptation through the formation of conspicuous cosmetic defects in open areas of the skin. The processes of pathological scarring (atrophic, hypertrophic and keloid scars) is described in detail as one of the most severe consequences of acne vulgaris and its treatment. The problem is described from the modern point of view of the pathogenesis of acne vulgaris. Differential diagnosis between keloid and hypertrophic scars, as well as the most relevant approaches to classification and evaluation of severity of postacne scarring according to the valid international scales, are presented.

Paracrystalline Aggregates of Psoriatic Keratin and Their Relation to Normal Keratin Structure

1985 ◽  
Vol 43 ◽  
pp. 680-681
Author(s):  
S. Trachtenberg ◽  
P.M. Steinert ◽  
B.L. Trus ◽  
A.C. Steven
Keyword(s):  
Cell Death ◽  
Stratum Corneum ◽  
Intermediate Filament ◽  
Skin Disease ◽  
Amorphous Matrix ◽  
Terminal Differentiation ◽  
Proteolytic Degradation ◽  
Horny Layer ◽  
Chronic Skin ◽  
Chronic Skin Disease

During terminal differentiation of vertebrate epidermis, certain specific keratin intermediate filament (KIF) proteins are produced. Keratinization of the epidermis involves cell death and disruption of the cytoplasm, leaving a network of KIF embedded in an amorphous matrix which forms the outer horny layer known as the stratum corneum. Eventually these cells are shed (desquamation). Normally, the processes of differentiation, keratinization, and desquamation are regulated in an orderly manner. In psoriasis, a chronic skin disease, a hyperkeratotic stratum corneum is produced, resulting in abnormal desquamation of unusually large scales. In this disease, the normal KIF proteins are diminished in amount or absent, and other proteins more typical of proliferative epidermal cells are present. There is also evidence of proteolytic degradation of the KIF.

Implications of Digital Image Processing in the Paraclinical Assessment of the Partially Edentated Patient

2018 ◽  
Vol 69 (2) ◽  
pp. 521-524
Author(s):  
Magda Ecaterina Antohe ◽  
Doriana Agop Forna ◽  
Cristina Gena Dascalu ◽  
Norina Consuela Forna
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Treatment Plan ◽  
Digital Processing ◽  
Contour Detection ◽  
Anatomical Structures ◽  
Imaging Processing ◽  
Point To Point ◽  
Radiological Image ◽  
Processing Techniques

The application of certain digital processing techniques offers the possibility of extra accuracy in the interpretation of paraclinical examinations of this type, with profound implications in the diagnosis as well as in the hierarchy of the treatment plan. The purpose of this study is to identify the type of imaging processing for the identification of pathological elements from orthopantomographies and articular tomographies. A number of 20 orthopantomographies and 15 temporo-mandibular joint tomography have undergone through various image enhancement techniques. Various methods of image enhancement (enhancement) have been used for those procedures whereby it becomes more useful in the following aspects: specific details are highlighted; noise is eliminated; the image becomes more visually attractive. The workings were done in Corel PhotoPaint 7.0, using the automatic procedures available.The choice of a particular type of image enhancement technique has been selected for each type of pathology found in orthopantomographies or articular tomography, providing the best accuracy for an optimal imaging interpretation that underpins a precision diagnosis.Of the most useful imaging processing in the optimization of the orthopantomographic image accuracy the point-to-point transformations are to be noted. The image processing proposed in this article focused primarily on improving the radiological image attributes to highlight specific anatomical structures, and secondly, the contour detection, where it was necessary for the diagnostic purposes as well.

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