Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets

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 🔘 Table of associated records

<meta name="Description" CONTENT="Artificial Intelligence Journal" />
<meta name="r0identifier" content="daa46e0033d013818bcc056d269d5737" />

Rx	Registration ID	Nº
R0	Hash MD5 (of R3):	daa46e0033d013818bcc056d269d5737
R1	Registration number (in the domain editorialia.com at WordPress):	dmeditorialiawp.30079
R2	Date-p-order (ddmmyyyypx):	02012021p1
R3	Cid (combined id R1+R2):	dmeditorialiawp.3007902012021p1
R4	Resource official title:	Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets
R5	Publisher:	arXiv.org
R6	Resource website (1) ( #OpenAccess | #Openscience ):	arxiv.org/abs/2012.13321
R9	DOI:	10.1109/JTEHM.2020.3028996
R12	Authors (separated by commas):	Joseph Stember, Hrithwik Shalu
R14	Keyword (selected 1 among the labels applied to this entry):	=medicine
R15	QR code (of the linked url at WP):
R16	Time stamp URL:
R17	Digital signature URL:	Pending signature

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