- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2193-6528
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Classification of Presbyopia by Severity ; volume:11 ; number:1 ; day:28 ; month:10 ; year:2021 ; pages:1-11 ; date:2.2022
Ophthalmology and therapy ; 11, Heft 1 (28.10.2021), 1-11, 2.2022
- Urheber
-
McDonald, Marguerite B.
Barnett, Melissa
Gaddie, Ian B.
Karpecki, Paul M.
Mah, Francis
Nichols, Kelly K.
Trattler, William B.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s40123-021-00410-w
- URN
-
urn:nbn:de:101:1-2022050109091573515514
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:34 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- McDonald, Marguerite B.
- Barnett, Melissa
- Gaddie, Ian B.
- Karpecki, Paul M.
- Mah, Francis
- Nichols, Kelly K.
- Trattler, William B.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Correction to: Classification of Presbyopia by Severity
Effect of problem-based learning on severity classification agreement by triage nurses
A universal severity classification for natural disasters
Classification of rice leaf blast severity using hyperspectral imaging
Psoriasis severity classification based on adaptive multi-scale features for multi-severity disease
Towards automated COVID-19 presence and severity classification
Stratification of the severity of critically ill patients with classification trees
Using multiclass classification to automate the identification of patient safety incident reports by type and severity
Deep learning to combat knee osteoarthritis and severity assessment by using CNN-based classification
Severity assessment of acute pancreatitis using CT severity index and modified CT severity index: Correlation with clinical outcomes and severity grading as per the Revised Atlanta Classification
Enhanced Parkinson’s Disease Tremor Severity Classification by Combining Signal Processing with Resampling Techniques
Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
Correction to: Classification of Presbyopia by Severity
Effect of problem-based learning on severity classification agreement by triage nurses
A universal severity classification for natural disasters
Classification of rice leaf blast severity using hyperspectral imaging
Psoriasis severity classification based on adaptive multi-scale features for multi-severity disease
Towards automated COVID-19 presence and severity classification
Stratification of the severity of critically ill patients with classification trees
Using multiclass classification to automate the identification of patient safety incident reports by type and severity
Deep learning to combat knee osteoarthritis and severity assessment by using CNN-based classification
Severity assessment of acute pancreatitis using CT severity index and modified CT severity index: Correlation with clinical outcomes and severity grading as per the Revised Atlanta Classification
Enhanced Parkinson’s Disease Tremor Severity Classification by Combining Signal Processing with Resampling Techniques
Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
Correction to: Classification of Presbyopia by Severity
Effect of problem-based learning on severity classification agreement by triage nurses
A universal severity classification for natural disasters
Classification of rice leaf blast severity using hyperspectral imaging
Psoriasis severity classification based on adaptive multi-scale features for multi-severity disease
Towards automated COVID-19 presence and severity classification
Stratification of the severity of critically ill patients with classification trees
Using multiclass classification to automate the identification of patient safety incident reports by type and severity
Deep learning to combat knee osteoarthritis and severity assessment by using CNN-based classification
Severity assessment of acute pancreatitis using CT severity index and modified CT severity index: Correlation with clinical outcomes and severity grading as per the Revised Atlanta Classification
Enhanced Parkinson’s Disease Tremor Severity Classification by Combining Signal Processing with Resampling Techniques