LSTM-Based RNN Framework to Remove Motion Artifacts in Dynamic Multicontrast MR Images with Registration Model

Today, many people under the age of 10 are being examined for brain-related issues, including tumours, without displaying any symptoms. It is not unusual for children to develop brain-related concerns such as tumours and central nervous system disorders, which may affect 15% of the population. Medic...

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Veröffentlicht in:	Wireless communications and mobile computing 2022-05, Vol.2022, p.1-12
Hauptverfasser:	Ayub, Shahanaz, Kannan, R. Jagadeesh, S, Shitharth, Alsini, Raed, Hasanin, Tawfiq, Sasidhar, Choragudi
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Algorithms Artificial neural networks Brain Brain research Cell membranes Central nervous system Diagnostic systems Feature extraction Fuzzy sets Gamma rays Human body Image enhancement Image quality Image segmentation Intelligibility Mapping Medical imaging Neural networks Noise Optimization techniques Pesticides Recurrent neural networks Registration Signs and symptoms Tumors Wavelet transforms
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