Applications of deep learning models for medical image analysis have been concentrated in
recent years. This study presents an improved automatic Deep Learning Ensemble model to …

SOFT COMPUTING techniques play an important role for decision-making applications with
imprecise and uncertain knowledge. The application of fuzzy SOFT COMPUTING …

Peptic ulcer disease is the most common ulcer of an area of the gastro-intestinal tract. The
aim of this study is to utilize soft computing techniques to manage uncertainty and …

Abstract headlamps in the dark is inferable from the results of studies. Various regulations
are available in order to arrange the required illuminance values at certain positions on the …

Detection of lung nodules in a chest Radiograph is very difficult due to sensitivity to noise,
lighting, and similar disturbances of the blood vessels and trachea. Therefore, such images …

The early diagnosis of lung cancer is critical in determining the chances of recovery and
survival of patients. Sometimes the differences exists between tissues, malignant and …

Summery Lung Computer-Aided Diagnosis (CAD) method provided precise analysis of
Computer Tomography (CT) images. This paper introduces a progressed lung nodule …

RESUMO O câncer de pulmão é o mais comum de todos os tumores malignos, com 1, 59
milhões de novos casos em todo o mundo no ano de 2012. A detecção precoce é o …

Computer aided systems has a crucial importance on lung nodule studies, since lung cancer
is the leading cause of cancer related death for both men and women worldwide. Accurate …

O diagnóstico precoce de tumores malignos é fundamental para determinar as
possibilidades de recuperação e sobrevida dos pacientes. Em alguns casos, como o câncer …