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Projekt i implementacja analizy obrazu dla czerniaka skóry

Preeti Shahi; Nitesh Tiwari; Shekhar Yadav

Wydawnictwo Nasza Wiedza

2021

pokkari

W dzisiejszej dobie wykorzystanie przetwarzania obraz w jest nieinwazyjną procedurą w diagnostyce intencji. Obecnie panuje niezwykly entuzjazm dla możliwości zaprogramowanej techniki badania obrazu w celu jego przygotowania, zar wno w celu uzyskania danych ilościowych o urazie, kt re mogą byc istotne dla aspekt w klinicznych, jak i jako niezależne urządzenie wczesnego ostrzegania. W celu osiągnięcia realnej metody rozr żniania zlośliwości sk ry w początkowym okresie, bez wykonywania zbędnych biopsji sk ry, zbadano skomputeryzowane obrazy uszkodzeń sk ry w przebiegu czerniaka. Środki związane z tym badaniem to gromadzenie bazy danych obraz w dermoskopowych, przetwarzanie wstępne, segmentacja z wykorzystaniem progowania, ekstrakcja cech mierzalnych przy użyciu GLCM, wavelet i Tamura. Klasyfikacja obejmuje SVM, KNN, drzewa decyzyjne oraz klasyfikatory zespolowe. Obecnie istnieje szeroka gama system w wykorzystywanych do przetwarzania zar wno ciemnych, jak i cieniowanych obraz w w celu rozpoznania i odr żnienia czerniaka zlośliwego. Ta częśc jest podzielona na segmenty wskazane przez kliniczne aspekty wczesnego zagrożenia czerniakiem, wstępnego przetwarzania, tekstury i etapu organizacji identyfikacji.

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Desenho e Implementação de Análise de Imagem para Melanoma Câncer de Pele

Preeti Shahi; Nitesh Tiwari; Shekhar Yadav

Edicoes Nosso Conhecimento

2021

pokkari

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Na era atual, o uso do processamento de imagens um procedimento n o intrusivo para inten o diagn stica. Existe neste momento um entusiasmo extraordin rio pelas possibilidades da t cnica de exame programado de imagem para prepara o da imagem, tanto para dar dados quantitativos sobre uma les o, que pode ser significativa para aspectos cl nicos, como como um dispositivo de alerta precoce independente. Para realizar um m todo vi vel para distinguir a malignidade da pele num per odo inicial, sem fazer bi psias de pele sup rfluas, foram examinadas imagens computadorizadas de les es cut neas de melanoma. Os meios associados a este exame s o a recolha de dados de imagens de dermatoscopia, pr -processamento, segmenta o utilizando limiares, extrac o de caracter sticas mensur veis utilizando GLCM, wavelet e Tamura. A classifica o inclui SVM, KNN, rvores de decis o, e classificadores de conjunto. H uma grande variedade de sistemas sendo usados atualmente para processar imagens em escala escura e sombreadas para reconhecer e distinguir a malignidade do melanoma. Esta parte dividida em segmentos conforme indicado pelos destaques cl nicos do melanoma amea ador precoce, pr -processamento, textura e fase de organiza o da identifica o.

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Design and Implementation of Image Analysis for Melanoma Skin Cancer

Preeti Shahi; Nitesh Tiwari; Shekhar Yadav

Lap Lambert Academic Publishing

2021

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In today's era, the use of image processing is a non-intrusive procedure for diagnostics intention. There is right now an extraordinary enthusiasm for the possibilities of programmed picture examination technique for picture preparing, both to give quantitative data about an injury, which may be significant for clinical aspects and as an independent early cautioning device. To accomplish a viable method to distinguish skin malignancy at a beginning period without playing out any superfluous skin biopsies, computerized pictures of melanoma skin injuries have been examined. The means associated with this examination are gathering dermoscopy picture database, preprocessing, segmentation utilizing thresholding, measurable feature extraction using GLCM, wavelet, and Tamura. The classification includes SVM, KNN, decision trees, and ensemble classifiers. There is a wide range of systems right now being used to process both dark scale and, shading pictures to recognize and distinguish melanoma malignancy. This part is partitioned into segments as indicated by the clinical highlights of early threatening melanoma, preprocessing, texture, and Identification organizing stage.

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Ergonomics in Dentistry

Preeti Kalura; Sandhya Kapoor Punia; Rahul Bhargava

LAP Lambert Academic Publishing

2021

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The dental practice is demanding and time consuming. A dentist's musculoskeletal health can be affected adversely if appropriate working position is neglected. Area that is often overlooked is the physical strain caused due to long hours of working in uncomfortable and incorrect posture which in turn can contribute greatly to musculoskeletal disorders, stress, and loss of productivity. Occupation related diseases are increasing day by day and one amongst them is musculoskeletal disorders due to improper ergonomics in dentistry. These disorders can result in pain and dysfunction of the neck, back, legs and hands and fingers. Dentists develop musculoskeletal problems which are related to suboptimal work environment ergonomics that might be responsible for improper sitting postures and movements. In Greek, "Ergo," means work and, "Nomos," means natural laws or systems. Ergonomics, therefore, is an applied science concerned with designing products and procedures for maximum efficiency and safety. The principles of ergonomics touch all aspects of our life and can be applied in work place, at home and even in recreational and leisure activities.

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