Article of the lecturers and PhD students is the 30. most frequently read article on the ranking of Nature Scientific Reports
Sajnáljuk, ezek a tartalmak nem érhetők el Magyar alatt
Article of the lecturers and PhD students of Faculty of Science titled 'Detecting and classifying lesions in mammograms with Deep Learning' is the 30. most frequently read article on the ranking of Nature Scientific Reports among 17000 published reports.
You can find the list below by clicking on the following link: https://www.nature.com/collections/hgbjhfffcb/
Article of the lecturers and PhD students is the 30. most frequently read article on the ranking of Nature Scientific Reports
2019-05-18 08:53:19
www.alumni.elte.hu
https://www.alumni.elte.hu/medias/image/1470189749633d3c013fcc3.png
2020-04-28 08:53:19
2020-04-28 08:53:19
Alumni International
Article of the lecturers and PhD students of Faculty of Science titled 'Detecting and classifying lesions in mammograms with Deep Learning' is the 30. most frequently read article on the ranking of Nature Scientific Reports among 17000 published reports. You can find the list below by clicking on the following link: https://www.nature.com/collections/hgbjhfffcb/
https://www.alumni.elte.hu/medias/image/thumbnail_201702278268383b1e06735.png
Megjegyzések0
Nincs jogosultsága a megtekintéshez, illetve megjegyzés írásához.Kérjük, jelentkezzen be.
Javasolt cikkek
