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- W3208482877 abstract "Applications of Artificial Intelligence (AI), no doubt, have a critical role in every aspect humanitarian well-being. Over the last few years, AI has guided the medical and healthcare sectors. Machine learning with the help of Processing techniques is employed to examine clinical images for illnesses tracking in less time. Diseases such as cancer should be brought to light as quickly as possible when time is of the essence. Medical images have influenced such as noise, inaccurate tumour bounds, and a wide variance in tumour presence which kind it challenging to get the accurate location of the Lung tumour. To resolve these issues, diverse methods are proposed to assist the radiologist in a precise identification of Lung cancer. The proposed method categorizes the cancerous tumour, predicts the size of a tumour in milllmetres, and thus proposes a method for lung cancer detection and tumour size prediction." @default.
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- W3208482877 date "2021-07-06" @default.
- W3208482877 modified "2023-09-25" @default.
- W3208482877 title "Early Detection of Lung Cancer Using Computer Aided Tomography Images" @default.
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- W3208482877 doi "https://doi.org/10.1109/icccnt51525.2021.9579977" @default.
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