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| Themen | Informatik und Informationstechnologie |
|---|---|
| ISBN | 9786204752112 |
| Sprache | Englisch |
| Erscheinungsdatum | 12.05.2022 |
| Größe | 220 x 150 mm |
| Verlag | LAP LAMBERT Academic Publishing |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Str. Armeneasca 28/1, office 1 | MD-2012 Chisinau info@omniscriptum.com |
A total of four contributory works were developed during the overall tenure of the work taken up in this thesis and was explained in four separate chapters, viz., chapter 3, 4, 5 and 6 respectively. The four proposed works presented as four detailed chapters are: Contribution 1: Microarray Image Denoising Based on Markov Random Fields in the spatial domain.Contribution 2: Adaptive MinMax Threshold Algorithm for Microarray Image based De-noising methods which is based on the Non-sub-sampled Contourlet Transforms approach.Contribution 3: An image noise type identification scheme for microarray images utilizing deep learning.Contribution 4: Determination of Noise Type in Microarray Images using Deep Learning, based on Iterative Parameters Generated in a Denoising Scheme using Markov Random Field.
| Themen | Informatik und Informationstechnologie |
|---|---|
| ISBN | 9786204752112 |
| Sprache | Englisch |
| Erscheinungsdatum | 12.05.2022 |
| Größe | 220 x 150 mm |
| Verlag | LAP LAMBERT Academic Publishing |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Str. Armeneasca 28/1, office 1 | MD-2012 Chisinau info@omniscriptum.com |
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