Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chinnu Jacob"'
Publikováno v:
International Journal of Imaging Systems and Technology. 32:1681-1695
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07d8be2d734a94e6352ee88d107b257c
https://doi.org/10.1002/ima.22684
https://doi.org/10.1002/ima.22684
Autor:
Jumana R, Chinnu Jacob
Publikováno v:
2022 IEEE International Power and Renewable Energy Conference (IPRECON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c9d4bdd12a8c5ff1fd4baeae41fde42
https://doi.org/10.1109/iprecon55716.2022.10059547
https://doi.org/10.1109/iprecon55716.2022.10059547
Publikováno v:
2022 5th International Conference on Signal Processing and Information Security (ICSPIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e658eeef4103a45234afbfcf3329e0a
https://doi.org/10.1109/icspis57063.2022.10002546
https://doi.org/10.1109/icspis57063.2022.10002546
Publikováno v:
Advances in Automation, Signal Processing, Instrumentation, and Control ISBN: 9789811582202
The detection and localization of cancerous pulmonary nodules from CT scans at an early stage can reduce the fatality rate of lung Carcinoma. The ability of Convolutional Neural Networks (CNN) to identify suspicious tumors in medical images with high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1864541b09daded56e3cf2d7cfa61093
https://doi.org/10.1007/978-981-15-8221-9_174
https://doi.org/10.1007/978-981-15-8221-9_174
Autor:
C. Gopakumar, Chinnu Jacob
Publikováno v:
2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS).
Pulmonary cancer is considered as one among the fatal cancers globally. The only way to reduce its mortality rate is by early detection. Screening of lung cancer by computed tomography (CT) images is considered to be the most effective method for its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f52b50e1cd0cf35e0ef3f3d9693d937f
https://doi.org/10.1109/icaccs48705.2020.9074161
https://doi.org/10.1109/icaccs48705.2020.9074161