scholarly journals Survey on Melanoma Skin Cancer Detection Methods

2020 ◽  
pp. 228-234
Author(s):  
Indula Subash ◽  
L. C. Manikandan
Keyword(s):  
Skin Cancer ◽  
Cancer Detection ◽  
Detection Methods ◽  
Frequency Rate ◽  
Non Melanoma Skin Cancer ◽  
Skin Cancers ◽  
Skin Cancer Detection ◽  
Melanoma Skin

Skin cancers are generally grouped into either melanoma or non-melanoma skin cancers. Melanoma skin cancers comprise a higher rate of mortality, while non-melanoma skin cancers have a higher frequency rate. This paper describes different methods for the detection and classification of melanoma and non-melanoma skin cancer.

Mo1728 Increased Rate of Non Melanoma Skin Cancer Detection With Screening Skin Exam in Inflammatory Bowel Disease: Is it Time to Recommend Routine Dermatology Care?

2012 ◽  
Vol 142 (5) ◽  
pp. S-671
Author(s):  
Lilani P. Perera ◽  
Yelena Zadvornova ◽  
Benson T. Massey ◽  
Corinne Guilday ◽  
Daniel J. Stein ◽  
...  
Keyword(s):  
Inflammatory Bowel Disease ◽  
Skin Cancer ◽  
Cancer Detection ◽  
Bowel Disease ◽  
Non Melanoma Skin Cancer ◽  
Inflammatory Bowel ◽  
Skin Cancer Detection ◽  
Melanoma Skin

scholarly journals Aplikasi Mobile Deteksi Dini Kanker Kulit Berdasarkan Image Processing

2021 ◽  
Vol 2 (2) ◽  
pp. 100-106
Author(s):  
Fina Royana ◽  
Puput Yuniar Maulida ◽  
Rully Nurul Hasanah ◽  
Sondari Setia Rahayu ◽  
Rasim Rasim
Keyword(s):  
Machine Learning ◽  
Skin Cancer ◽  
Cancer Detection ◽  
Future Health ◽  
Skin Cancers ◽  
Threatening Condition ◽  
Life Threatening ◽  
Management Techniques ◽  
Skin Cancer Detection ◽  
Melanoma Skin

Currently, between 2 and 3 million non-melanoma skin cancers and 132,000 melanoma skin cancers occur globally each year (WHO, 2017). Skin cancer is one type of cancer that can cause death for many people. Because of this, an application is needed to easily detect skin cancer early that the cancer can be handled with more quickly. Besides, consultations with dermatologists have better prognosis (Avilés-Izquierdo et. al., 2016). Due to that, we built an early skin cancer detection application with dermatologist consultation. Our application helps to diagnose skin cancer before it grows into a life-threatening condition and is crucial to preserving lifestyle, future health, and aesthetics. Besides, thanks to online doctor consultations we have, however, getting diagnosed, prescribed and treated for your issues without spending time travelling to and from the doctors and waiting in queues can be just as effective. We used three management techniques such as machine learning to create data pipelines, build a model, and convert the model to TensorFlow lite with post-training quantization. Android to deploy the TensorFlow lite model and create the application. The application has a real-time connection using firebase. Moreover, cloud to create a simple database for doctor and diagnosis services on firebase.

scholarly journals Diffuse reflectance imaging for non-melanoma skin cancer detection using laser feedback interferometry

2016 ◽  
Author(s):  
Alireza Mowla ◽  
Thomas Taimre ◽  
Yah L. Lim ◽  
Karl Bertling ◽  
Stephen J. Wilson ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Cancer Detection ◽  
Diffuse Reflectance ◽  
Non Melanoma Skin Cancer ◽  
Diffuse Reflectance Imaging ◽  
Skin Cancer Detection ◽  
Melanoma Skin

Development of a Non-Melanoma Skin Cancer Detection Model

Dermatology ◽  
2015 ◽  
Vol 230 (2) ◽  
pp. 161-169 ◽  
Author(s):  
Simone van der Geer ◽  
P. Ad M. Kleingeld ◽  
Chris C.P. Snijders ◽  
Frank J.C.H. Rinkens ◽  
Geert A.E. Jansen ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Cancer Detection ◽  
Detection Model ◽  
Non Melanoma Skin Cancer ◽  
Skin Cancer Detection ◽  
Melanoma Skin

scholarly journals Screening for Melanoma and Other Skin Cancer Shows a Higher Early Melanoma Incidence: Social Educational Program “Life Fear-Free”

2021 ◽  
Vol 8 (1) ◽  
pp. 54-68
Author(s):  
Lev Demidov ◽  
Igor Samoylenko ◽  
Nina Vand ◽  
Igor Utyashev ◽  
Irina Shubina ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Screening Program ◽  
Excisional Biopsy ◽  
Skin Lesions ◽  
Detection Methods ◽  
Non Melanoma Skin Cancer ◽  
The Social ◽  
Educational Campaign ◽  
Skin Cancer Detection ◽  
The Impact

Background: The screening program Life Fear-Free (LFF) aimed at early diagnosis of cutaneous melanoma (CM) was introduced in Samara, Chelyabinsk, Yekaterinburg, and Krasnodar (Russia) in 2019. Objectives: To analyze the impact of the program on early CM and non-melanoma skin cancer (NMSC) detection. Methods: According to the social educational campaign, people were informed about CM risk factors and symptoms and were invited for skin examination. The program planned to involve 3200 participants in total. Participants with suspicious lesions were invited for excisional biopsy. Results: 3143 participants, including 75.4% women, were examined for skin lesions. The average age of the participants was 43.7 years. Mostly skin phototypes II and III were registered (48.2% and 41.0%, respectively); 3 patients had CM, 15 had basal cell carcinoma, and 1 had Bowen’s disease, which were confirmed histologically. All detected melanomas had Breslow’s thickness of 1 mm. Conclusion: The participants showed high interest in early skin cancer detection programs. The incidence rate of CM and NMSCs among the program participants was higher than in general public. The early disease grade was proven for the detected CMs and NMSCs. The study has shown that it is important to continue such programs.

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