Abstract
This study is related to the different methods of identification of artificial neural networks. These techniques assess and detect lung cancer in the early stage of life, therefore, preventing lung disease. Growth in lung cancer is Pakistan's principal cause of death, so early identification of lung disease is crucial. The position and expectation of growth of lung cancer is guided by the pre-treatment plan in which sections, smoothing, and improvement measures were prepared which includes procedures based on pictures and steps. Lung malignancy was linked to the proper model of the false neural system and paces of the endurance of patients with lung disease were also determined. The role of artificial neural systems in the medical profession is significant Nowadays most ailment treatment strategies are prepared to upgrade the yield display with the aid of man-made brainpower. The artificial neural network model is useful in lung cancerous growth disorder because lung type of cancer can be detected. The main aim of this paper is to study the different methods of artificial neural network techniques used to detect, assess, and treat patients with lung cancer.
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