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020 _a9783030786014
024 7 _a10.1007/978-3-030-78601-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRE46
_b.A78 2020 EB
245 0 0 _aArtificial Intelligence in Ophthalmology Editors (view affiliations)
_cedited by Andrzej Grzybowski
250 _a1st ed. 2021
264 1 _aCham
_bSpringer Nature Switzerland
_bImprint: Springer
_c2021
300 _a1 recurso en línea VI, 286 páginas)
_b9 ilustraciones, 99 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aMedicine (Springer-11650)
520 3 _aThis book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.
988 _aPrimersemestre_2021_Medicine
650 7 _2embne
_aOftalmología
_9139186
650 7 _2embne
_aMedicina
_9273311
650 0 _aPublic health
_9512171
700 1 _aGrzybowski, Andrzej.
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_997632
710 2 _aSpringerLink (Online service)
_9106996
776 0 8 _iPrinted edition:
_z978-3-030-78600-7
776 0 8 _iPrinted edition:
_z978-3-030-78603-8
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-78601-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
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_n0
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