New insight of squaraine-based biocompatible surface-enhanced Raman scattering nanotag for cancer-cell imaging.
The newly developed SERS-nanotag Au-LSL-PEG serves as a valuable tool for diagnostic detection of cancer cells, and may find potential applications for cancer screening in real patient samples.
Performance evaluation of detecting moving objects using graph cut segmentation
A completely unique framework named Graph Cut algorithm to scale back a pixel-level noise to judge the standard of various background scene models for object detection and to match run-time performance is proposed.
Adaptive multi-threshold based de-noising filter for medical image applications
- A. Ramya, D. Murugan, G. Murugeswari, Nisha Joseph
- Computer ScienceInt. J. Comput. Vis. Robotics
- 16 April 2019
A new framework is proposed for noise detection and reduction using the newly proposed adaptive multi-threshold scheme (AMT) and edge preserving median filter (EPM), which conserves the edge component and controls the blurring effect with preservation of fine details of interior region.
Detecting and Tracking Segmentation of Moving Objects Using Graph Cut Algorithm
A Case of Skeletal Cystic Angiomatosis, A-V Malformations, and Arnold- Chiari Malformation Type I - A Rare Multicentric Combination Triad of Congenital Malformations. Medical Sciences
An unusual combination triad of skeletal cystic angiomatosis, arterio-venous malformations, and chiari malformation type-I was documented in a 17-year-old male patient with complaints of progressive overgrowth of jawbone and occiput since 10 years.
Comparative Study on Detection and Classification Approaches on Man-Made Objects from Satellite Images
Performance Analysis of the Bio-inspired Algorithm with Adaptive Recursive Denoising
The novel approach based on spatial adaptive filter is presented for image denoising and it gives the better performance and it also gives the consistent result on experimental standard images.
ADAPTIVE FUZZY BASED NONLINEAR FILTER FOR DESPECKLING ULTRASOUND IMAGES
Performance Study on Brain Tumor Segmentation Techniques
- Nisha Joseph, D. Murugan, A. Ramya, T. Ganesh Kumar
- Computer ScienceInternational Conference on Computing…
- 1 December 2018
From the experimental outcomes it is shown that the Wavelet based SOM approach performs superior than the other method, and their performances are compared to observe the best method for brain tumor partition.
Patient Specific Brain Tumor Segmentation using Context Sensitive Feature Extraction in MR Images
The investigational results obtained by the proposed method shows better in terms of qualitative metrics such as Dice Score, Positive Predictive Value (PPV) and Sensitivity with a little reduction in computation time when compared to other recent methods.