Intelligent Vision in Healthcare
| Körperschaft: | |
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| Weitere Verfasser: | , , |
| Zusammenfassung: | XIII, 151 p. 65 illus., 49 illus. in color. text |
| Sprache: | Englisch |
| Veröffentlicht: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2022.
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| Ausgabe: | 1st ed. 2022. |
| Schriftenreihe: | Studies in Autonomic, Data-driven and Industrial Computing,
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| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/978-981-16-7771-7 |
| Format: | Elektronisch Buch |
Inhaltsangabe:
- Intelligent Vision in Healthcare
- Diagnosis of Covid-19 in X-ray and CT Images Using Online Clustering Framework
- Unsupervised Deep Learning Approach for the Identification of Intracranial haemorrhage in CT images using PCA-Net and K-Means algorithm
- Automatic segmentation of optic cup and optic disc using MultiResUnet for Glaucoma classification from fundus image
- A Framework to Classify the Calcification Region from USG Images of Thyroid Nodules
- Predicting Heart Disease with Multiple Classifiers.