AUTOMATED CLASSIFICATION AND SEGREGATION OF BRAIN MRI IMAGES INTO IMAGES CAPTURED WITH RESPECT TO VENTRICULAR REGION AND EYE-BALL REGION

AUTOMATED CLASSIFICATION AND SEGREGATION OF BRAIN MRI IMAGES INTO IMAGES CAPTURED WITH RESPECT TO VENTRICULAR REGION AND EYE-BALL REGION

Magnetic Resonance Imaging (MRI) images of the brain are used for detection of various brain diseases including tumor.In such cases, classification of MRI Psoriasis images captured with respect to ventricular and eye ball regions helps in automated location and classification of such diseases.The methods employed in the paper can segregate the give

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Krylov complexity in saddle-dominated scrambling

Abstract In semi-classical systems, the exponential growth of the out-of-time-order correlator (OTOC) is believed to be the hallmark of quantum chaos.However, on several occasions, it has been argued that, even in integrable systems, OTOC can grow exponentially due to the presence of unstable saddle Hair Repair Mask points in the phase space.In thi

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Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River

Constructing a shield tunnel that crosses under a river poses considerable safety risks, and risk assessment is Wonderswan essential for guaranteeing the safety of tunnel construction.This paper studies a risk assessment system for a shield tunnel crossing under a river.Risk identification is performed for the shield tunnel, and the risk factors an

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Faster Transformer-DS: Multiscale Vehicle Detection of Remote-Sensing Images Based on Transformer and Distance-Scale Loss

Vehicle detection (VD) on remote sensing (RS) images has gained impressive achievements Hair Repair Mask these years, mainly thanks to the development of popular learning-based object detection architectures [e.g., faster R-convolutional neural network (CNN), YOLO series, etc.].However, for RS images, mutiscale VD with tiny size still remains chall

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