ELIZA

return kwic search for method out of >500 occurrences
375291 occurrences (No.49 in the rank) during 5 years in the PubMed. [no cache] 500 found

182) We believe that deep learning can shed new light on the neuroimaging data analysis, and our work presented the applicability of this method to brain disease diagnosis.

--- ABSTRACT ---

PMID:24363140 DOI:10.1007/s00429-013-0687-3

2015 Brain structure & function

* Latent feature representation with stacked auto-encoder for AD/MCI diagnosis.

- Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Unlike the previous methods that considered simple low-level features such as gray matter tissue volumes from MRI, and mean signal intensities from PET, in this paper, we propose a deep learning-based latent feature representation with a stacked auto-encoder (SAE). We believe that there exist latent non-linear complicated patterns inherent in the low-level features such as relations among features. Combining the latent information with the original features helps build a robust model in AD/MCI classification, with high diagnostic accuracy. Furthermore, thanks to the unsupervised characteristic of the pre-training in deep learning, we can benefit from the target-unrelated samples to initialize parameters of SAE, thus finding optimal parameters in fine-tuning with the target-related samples, and further enhancing the classification performances across four binary classification problems: AD vs. healthy normal control (HC), MCI vs. HC, AD vs. MCI, and MCI converter (MCI-C) vs. MCI non-converter (MCI-NC). In our experiments on ADNI dataset, we validated the effectiveness of the proposed method, showing the accuracies of 98.8, 90.7, 83.7, and 83.3 % for AD/HC, MCI/HC, AD/MCI, and MCI-C/MCI-NC classification, respectively. We believe that deep learning can shed new light on the neuroimaging data analysis, and our work presented the applicability of this method to brain disease diagnosis.

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(1)81 null	(12)7 with	(23)2 allowed	(34)2 may
(2)59 for	(13)6 using	(24)2 among	(35)2 on
(3)39 of	(14)5 has	(25)2 but	(36)2 provided
(4)39 to	(15)5 used	(26)2 by	(37)2 should
(5)37 was	(16)4 showed	(27)2 choice	(38)2 study
(6)26 is	(17)4 which	(28)2 combined	(39)2 the
(7)24 and	(18)3 are	(29)2 could	(40)2 uses
(8)15 in	(19)3 as	(30)2 from	(41)2 we
(9)9 that	(20)3 significantly	(31)2 helped
(10)8 can	(21)2 a	(32)2 involves
(11)7 based	(22)2 against	(33)2 known

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--- WordNet output for method --- =>方法, 筋道, 秩序, 規則正しさ, 順序 Overview of noun method The noun method has 2 senses (first 1 from tagged texts) 1. (95) method -- (a way of doing something, especially a systematic way; implies an orderly logical arrangement (usually in steps)) 2. method acting, method -- (an acting technique introduced by Stanislavsky in which the actor recalls emotions or reactions from his or her own life and uses them to identify with the character being portrayed) --- WordNet end ---