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


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<meta name="Description" CONTENT="Artificial Intelligence Journal" />
<meta name="r0identifier" content="daa46e0033d013818bcc056d269d5737" />
RxRegistration ID
R0Hash MD5 (of R3):daa46e0033d013818bcc056d269d5737
R1Registration number (in the domain editorialia.com at WordPress):dmeditorialiawp.30079
R2Date-p-order (ddmmyyyypx): 02012021p1
R3Cid (combined id R1+R2):dmeditorialiawp.3007902012021p1
R4Resource official title:Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets
R5Publisher:arXiv.org
R6Resource website (1) ( #OpenAccess | #Openscience ): arxiv.org/abs/2012.13321
R9DOI:10.1109/JTEHM.2020.3028996
R12Authors (separated by commas):Joseph Stember, Hrithwik Shalu
R14Keyword (selected 1 among the labels applied to this entry):=medicine
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R17Digital signature URL:Pending signature

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