scholarly journals Early Detection of Skin Cancer Using SAKURI in Satelit General Hospital of Aceh Besar

2020 ◽  
Author(s):  
Wahyu Lestari ◽  
Sitti Hajar ◽  
Fitria Salim ◽  
Mulia Saputra ◽  
Ade Suryani
Keyword(s):  
Skin Cancer ◽  
Early Detection ◽  
General Hospital

Early Detection of Skin Cancer

1963 ◽  
Vol 34 (6) ◽  
pp. 593-600
Author(s):  
Harold Plotnick ◽  
Hermann Pinkus
Keyword(s):  
Skin Cancer ◽  
Early Detection

Skin cancer prevention: a link between primary prevention and early detection?

2010 ◽  
Vol 18 (4) ◽  
pp. 417-420 ◽  
Author(s):  
Peter J. Anderson ◽  
John B. Lowe ◽  
Warren R. Stanton ◽  
Kevin P. Balanda
Keyword(s):  
Primary Prevention ◽  
Skin Cancer ◽  
Early Detection ◽  
Cancer Prevention ◽  
Skin Cancer Prevention ◽  
Prevention And Early Detection

scholarly journals Pattern and Frequency of Skin Malignancies at Laboratory of Pathology Anatomy Dr. Kariadi General Hospital in 2008-2009

Sains Medika ◽  
2015 ◽  
Vol 6 (1) ◽  
pp. 21
Author(s):  
Susilorini Susilorini ◽  
Udadi Sadhana ◽  
Indra Widjaya
Keyword(s):  
Squamous Cell Carcinoma ◽  
Skin Cancer ◽  
Skin Lesion ◽  
Cell Carcinoma ◽  
General Hospital ◽  
Squamous Cell ◽  
Medical Records ◽  
Secondary Data ◽  
Cross Sectional ◽  
Neoplastic Lesion

Introduction: A periodical database is important including for skin cancer. Periodical registration is needed to acknowledge changes in pattern and frequencies of skin lesion. Objective: The purpose of this study was to describe the pattern and the frequency of skin lesion in RSUD Kariadi.Method: A cross-sectional study was conducted through analysis of the medical records of patients diagnosed skin lesion in the pathology labolatory of RSUD Kariadi between 2008 and 2009. The variables were secondary data including age, gender, specimen area, dan histopathology diagnosis. Data was choosen by consecutive sampling from 381 medical records of skin tissues examined at laboratorium of pathology anatomy of Dr. Kariadi general hospital during 2008-2009.Result: 381 cases were recorded comprising of 246 (65%) neoplastic and 135 (35%) non neoplastic lesion. 120 patients presented with skin cancer, and 126 with benign skin lesion. Most malignancy was observed among female patients (62.5%) on age catagory of 15-39 (65%). The most common lesion was basal cell carcinoma (48.3%) followed by squamous cell carcinoma (33.3%), malignant melanoma (10%), skin appendix carcinoma (2.5%), other malignancies (4.9%).Conclusion: the most common malignancies in Dr. Kariadi general hospital before 2008 was similar to data from 13 laboratory of pathology anatomy in Indonesia, which is squamous cell carcinoma.

scholarly journals Cloud based mobile solution for early detection of Skin Cancer using Artificial Intelligence

2021 ◽  
pp. 312-324
Author(s):  
Pawan Sonawane ◽  
Sahel Shardhul ◽  
Raju Mendhe
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Skin Cancer ◽  
Early Detection ◽  
Transfer Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Mobile Application ◽  
Low Cost ◽  
Skin Tumors

The vast majority of skin cancer deaths are from melanoma, with about 1.04 million cases annually. Early detection of the same can be immensely helpful in order to try to cure it. But most of the diagnosis procedures are either extremely expensive or not available to a vast majority, as these centers are concentrated in urban regions only. Thus, there is a need for an application that can perform a quick, efficient, and low-cost diagnosis. Our solution proposes to build a server less mobile application on the AWS cloud that takes the images of potential skin tumors and classifies it as either Malignant or Benign. The classification would be carried out using a trained Convolution Neural Network model and Transfer learning (Inception v3). Several experiments will be performed based on Morphology and Color of the tumor to identify ideal parameters.

scholarly journals The Correlation between Characteristics, Knowledge and Motivation of Couples in Childbearing Age with the Early Detection of Cervical Cancer in Ulin General Hospital Banjarmasin

2020 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Anggrita Sari ◽  
Ika Mardiatul Ulfa ◽  
Dewi Pusparani Sinambela
Keyword(s):  
Cervical Cancer ◽  
Early Detection ◽  
General Hospital ◽  
Pap Smear ◽  
Rank Correlation ◽  
Childbearing Age ◽  
Cross Sectional ◽  
Pap Smear Test ◽  
Education And Employment ◽  
Spearman Rank Correlation Test

Cervical cancer is a malignant tumor that grows in the cervix and often attack women. In Indonesia cervical cancer is the number one killer of all cancers. So early detection is very important. The incidence of cancer from year to year has been increasing significantly. On the contrary, the coverage of pap smear test has been decreasing. The aims are to determine the correlation of characteristics (age, education, and employment), knowledge and motivation and early detection of cervical cancer in couples of childbearing age in patients of Ulin General Hospital Banjarmasin. This type of research is analytic survey with cross sectional. The population is all couples of childbearing age who visit in obstetrics policlinic in Ulin General Hospital Banjarmasin. Sampling method was done by accidental sampling using a sample size of 30 people. Analysis using the spearman rank correlation test with 95% confidence value. Results find no correlation between age and early detection of cervical cancer (p=0,264>α=0,05), a correlation between education and early detection of cervical cancer (p=0,001<α=0,05), a correlation between employment with early detection of cervical cancer (p=0,003<α=0,05), no correlation between knowledge with the early detection of cervical cancer (p=0,425>α=0,05)), no correlation between motivation with the early detection of cervical cancer (p=0,264>α=0,05).

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