A hospital based dermatoscopic study for the classification of ...

Conclusions: Melasma is more preponderance in middle age female. Most common factors for melasma are sun exposure and usage of fairness cream.

A hospital based dermatoscopic study for the classification of melasma

Results: Most common dermatoscopic pattern was sparing of follicles 78(78%) followed by brown pigment 54(54%), accentuation of psuedonetwork 42( ...

hospital based dermatoscopic study for the classification of melasma ...

Melasma is a common acquired facial hyperpigmentary disorder which can cause a significant psychosocial impact in the patient and Dermatoscopy is a simple, ...

(PDF) hospital based dermatoscopic study for the classification of ...

PDF | Objectives: This study was to evaluate the clinical profile and dermatoscopic classifications of melasma. Methods: A detail assessment, clinical.

A Hospital Based Dermatoscopic Study for the Classification of ...

Objectives: This study was to evaluate the clinical profile and dermatoscopic classifications of melasma. Methods: A detail assessment, ...

A Hospital-based Cross-sectional Study of Clinical, Wood's Lamp ...

Dermoscopic examination showed a mixed type of melasma in majority, followed by dermal and epidermal type. By Cohen's kappa, there was substantial agreement ...

Dermoscopy of cutaneous melanoma metastases: A color-based ...

Dermoscopic studies about cutaneous metastases of malignant melanoma (CMMM) are few. Our objective was to analyze the dermoscopic features ...

Classiﬁ cation of melasma by dermoscopy: comparative study with ...

The Description of Dermoscopy and Wood's Lamp on Melasma · Comparison of Dermoscope and Woods Lamp as A Tool to Study Melanin Depth in Melasma · A hospital-based ...

Concordance study and correlation with the melanophages count

Based on the evaluation of clinical and dermoscopic images, two independent observers classified melasma into epidermal or mixed subtypes. The intra and ...

Dermoscopy: Overview, Technical Procedures and Equipment, Color

A good evaluation of colors and their relative distribution is essential for achieving the correct clinical diagnosis of a pigmented skin lesion ...

Exploring dermoscopic structures for melanoma lesions' classification

Validity and reliability of dermoscopic criteria used to differentiate nevi from melanoma: a web-based international dermoscopy society study. JAMA Dermatol ...

Dermoscopic attributes classification using deep learning and multi ...

In this study we consider developing an end-to-end solution for the task of dermoscopic attributes detection based on the data of ISIC.

Dermoscopic Image Classification Method Using an Ensemble of ...

This paper proposes a dermoscopic image classification method based on an ensemble of fine-tuned convolutional neural networks.

An Observational Study of Dermoscopic and Histopathological

An Observational Study of Dermoscopic and Histopathological Correlation in Spongiotic Disorders - A Hospital Based Cross Sectional Study. Bhatt, Mansi M ...

Computer-Based Classification of Dermoscopy Images of ...

Mihm Jr, et al. Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study. J Am Acad Dermatol, 44 ( ...

Dermoscopy for the Family Physician - AAFP

Polarized dermoscopy may have a higher sensitivity for detecting skin cancer based on its ability to enhance the visualization of vascular and ...

The HAM10000 dataset, a large collection of multi-source ... - Nature

... dermatoscopic image analysis research. It is, however, biased towards melanocytic lesions (12893 of 13786 images are nevi or melanomas) ...

Implementation of a dermatoscopy curriculum during residency at ...

... medical students: a Scoping Review of published interventional studies ... dermoscopic melanoma image classification: web-based survey study. J ...

Deep learning outperformed 136 of 157 dermatologists in a head-to ...

... dermoscopic melanoma image classification task ... learning rates was based on practical experience with other image classification tasks.

Skin cancer and deep learning for dermoscopic images classification

Deep learning architectures are used in this area based on a new convolutional neural network that can classify skin lesions with improved accuracy. Methods: A ...