Fusing CNN features to improve generalisability for surgical tool classification
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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In: Proceedings on Automation in Medical Engineering, 2023
- Event
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Veröffentlichung
- (where)
-
Furtwangen
- (who)
-
Hochschule Furtwangen
- (when)
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2023
- Creator
- DOI
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10.18416/AUTOMED.2023
- URN
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urn:nbn:de:bsz:fn1-opus4-96968
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:46 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Abdulbaki Alshirbaji, Tamer
- Jalal, Nour Aldeen
- Neumuth, Thomas
- Möller, Knut
- Hochschule Furtwangen
Time of origin
- 2023
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Assessing Generalisation Capabilities of CNN Models for Surgical Tool Classification
Surgical Tool Classification in Laparoscopic Videos Using Convolutional Neural Network
Data Recording Framework for Physiological and Surgical Data in Operating Theatres
Evaluating Convolutional Neural Network and Hidden Markov Model for Recognising Surgical Phases in Sigmoid Resection
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Predicting Surgical Phases using CNN-NARX Neural Network
Feature space separation by conformity loss driven training of CNN
The effect of feature space separation at different training states of CNN
The Image flip effect on a CNN model classification
Generating adversarial images to monitor the training state of a CNN model
Assessing Generalisation Capabilities of CNN Models for Surgical Tool Classification
Surgical Tool Classification in Laparoscopic Videos Using Convolutional Neural Network
Data Recording Framework for Physiological and Surgical Data in Operating Theatres
Evaluating Convolutional Neural Network and Hidden Markov Model for Recognising Surgical Phases in Sigmoid Resection
Surgical Tool Classification & Localisation Using Attention and Multi-feature Fusion Deep Learning Approach
Spatial-temporal Modelling for Surgical Tool Classification in Cholecystectomy Videos
Features for detecting smoke in laparoscopic videos
Predicting Surgical Phases using CNN-NARX Neural Network
Feature space separation by conformity loss driven training of CNN
The effect of feature space separation at different training states of CNN
The Image flip effect on a CNN model classification
Generating adversarial images to monitor the training state of a CNN model
Assessing Generalisation Capabilities of CNN Models for Surgical Tool Classification
Surgical Tool Classification in Laparoscopic Videos Using Convolutional Neural Network
Data Recording Framework for Physiological and Surgical Data in Operating Theatres
Evaluating Convolutional Neural Network and Hidden Markov Model for Recognising Surgical Phases in Sigmoid Resection
Surgical Tool Classification & Localisation Using Attention and Multi-feature Fusion Deep Learning Approach
Spatial-temporal Modelling for Surgical Tool Classification in Cholecystectomy Videos