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1.
SVM-RLF-DNN: A DNN with reliefF and SVM for automatic identification of COVID from chest X-ray and CT images.
Digit Health
; 10: 20552076241257045, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38812845
2.
ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images.
Biomed Signal Process Control
; 85: 104974, 2023 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-37122956
3.
A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images.
Comput Methods Programs Biomed
; 226: 107157, 2022 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-36208537
4.
Dynamically learned PSO based neighborhood influenced fuzzy c-means for pre-treatment and post-treatment organ segmentation from CT images.
Comput Methods Programs Biomed
; 202: 105971, 2021 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-33611030
5.
MhURI:A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images.
Comput Methods Programs Biomed
; 200: 105841, 2021 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-33221057
6.
CSNet: A new DeepNet framework for ischemic stroke lesion segmentation.
Comput Methods Programs Biomed
; 193: 105524, 2020 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-32417618
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