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Lung cancer is one of the most prevalent cancer-related diseases with a high mortality rate, and this is largely due to the lateness in detecting the presence of malignancy. Again, the conventional methods used in the diagnosis of lung cancer have ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::301188133ee3d02273d6c794f0752c02
Autor:
Raju Janagam, K. Yakub Reddy
We initiate a new distance metric learning technique recognized as ambiguously supervised structural metric learning to find out discriminative Mahalanobis distance metric that is based on weak supervision data. For improving the performance, two aff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81abcff53e02690ce492ba0822fda811
https://zenodo.org/record/3575567
https://zenodo.org/record/3575567