DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1687-5281
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation ; volume:2019 ; number:1 ; day:18 ; month:7 ; year:2019 ; pages:1-10 ; date:12.2019
EURASIP journal on image and video processing / European Association for Speech, Signal and Image Processing ; 2019, Heft 1 (18.7.2019), 1-10, 12.2019
- Urheber
-
Baghersalimi, Saleh
Bozorgtabar, Behzad
Schmid-Saugeon, Philippe
Ekenel, Hazım Kemal
Thiran, Jean-Philippe
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13640-019-0467-y
- URN
-
urn:nbn:de:101:1-2019122215024288592001
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 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
- Baghersalimi, Saleh
- Bozorgtabar, Behzad
- Schmid-Saugeon, Philippe
- Ekenel, Hazım Kemal
- Thiran, Jean-Philippe
- SpringerLink (Online service)
Ähnliche Objekte (12)
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images
Precise segmentation of densely interweaving neuron clusters using G-Cut
Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement
Fully Convolutional Networks for Image Segmentation
Intelligent large-scale flue-cured tobacco grading based on deep densely convolutional network
Liver tumor segmentation in CT volumes using an adversarial densely connected network
Residual refinement for interactive skin lesion segmentation
Generative adversarial networks based skin lesion segmentation
Decision forest variants for brain lesion segmentation
Convolutional neural networks for brain tumour segmentation
Optimizing deep learning-based segmentation of densely packed cells using cell surface markers
Focal cortical dysplasia lesion segmentation using multiscale transformer
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images
Precise segmentation of densely interweaving neuron clusters using G-Cut
Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement
Fully Convolutional Networks for Image Segmentation
Intelligent large-scale flue-cured tobacco grading based on deep densely convolutional network
Liver tumor segmentation in CT volumes using an adversarial densely connected network
Residual refinement for interactive skin lesion segmentation
Generative adversarial networks based skin lesion segmentation
Decision forest variants for brain lesion segmentation
Convolutional neural networks for brain tumour segmentation
Optimizing deep learning-based segmentation of densely packed cells using cell surface markers
Focal cortical dysplasia lesion segmentation using multiscale transformer
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images
Precise segmentation of densely interweaving neuron clusters using G-Cut
Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement
Fully Convolutional Networks for Image Segmentation
Intelligent large-scale flue-cured tobacco grading based on deep densely convolutional network
Liver tumor segmentation in CT volumes using an adversarial densely connected network
Residual refinement for interactive skin lesion segmentation
Generative adversarial networks based skin lesion segmentation
Decision forest variants for brain lesion segmentation
Convolutional neural networks for brain tumour segmentation
Optimizing deep learning-based segmentation of densely packed cells using cell surface markers