Entropy based segmentation of tumor from brain MR images–a study with teaching learning based optimization
V Rajinikanth, SC Satapathy, SL Fernandes… - Pattern Recognition …, 2017 - Elsevier
Image processing plays an important role in various medical applications to support the
computerized disease examination. Brain tumor, such as glioma is one of the life threatening …
computerized disease examination. Brain tumor, such as glioma is one of the life threatening …
A computer vision technique for automated assessment of surgical performance using surgeons' console-feed videos
Purpose To develop and validate an automated assessment of surgical performance (AASP)
system for objective and computerized assessment of pelvic lymph node dissection (PLND) …
system for objective and computerized assessment of pelvic lymph node dissection (PLND) …
A comprehensive framework for classification of brain tumour images using SVM and curvelet transform
This work introduces an efficient approach for brain tumour detection using curvelet
transform–based statistical features combined with GLCM (Grey Level Cooccurrence Matrix) …
transform–based statistical features combined with GLCM (Grey Level Cooccurrence Matrix) …
An entropy‐based approach to detect and localize intraoperative bleeding during minimally invasive surgery
Background During minimally invasive surgery (either robotic or traditional laparoscopic),
vascular injuries may occur because of inadvertent surgical tool movements or actions …
vascular injuries may occur because of inadvertent surgical tool movements or actions …
Visual Intelligence: Prediction of Unintentional Surgical-Tool-Induced Bleeding during Robotic and Laparoscopic Surgery
Unintentional vascular damage can result from a surgical instrument's abrupt movements
during minimally invasive surgery (laparoscopic or robotic). A novel real-time image …
during minimally invasive surgery (laparoscopic or robotic). A novel real-time image …
Cerebral edema segmentation using textural feature
A Chaudhari, J Kulkarni - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Diagnostic imaging provides a vital tool in detection and analysis of Brain pathologies.
Magnetic resonance imaging (MRI) provides an effective means for non-invasive mapping of …
Magnetic resonance imaging (MRI) provides an effective means for non-invasive mapping of …
[PDF][PDF] An effective user interface image processing model for classification of Brain MRI to provide prolific healthcare
Today the design and development of computer assisted User Interface Image processing
Systems have been very helpful in detecting and diagnosing the underlying diseases in the …
Systems have been very helpful in detecting and diagnosing the underlying diseases in the …
Maximal stable extremal region extraction of MRI tumor images using successive Otsu algorithm
P Jyotiyana, S Maheshwari - … of Third International Conference on ICTCS …, 2019 - Springer
The computer-aided diagnosis of magnetic resonance imaging (MRI) images using
computer vision techniques is a facilitating area of interest. The segmentation model tries to …
computer vision techniques is a facilitating area of interest. The segmentation model tries to …
A novel brain MRI analysis system for detection of stroke lesions using discrete wavelets
Abstract Development of computer aided detection techniques for brain disorder has been
gaining significant importance in the past few years. Out of the various brain diseases, stroke …
gaining significant importance in the past few years. Out of the various brain diseases, stroke …
Volumetric tumour detection using improved region grow algorithm
S Prasad, S Gupta - International Journal of Computational …, 2018 - inderscienceonline.com
This paper works on segmentation of brain pathological tissues (tumour, edema and
narcotic core) and visualise it in 3D for their better physiological understanding. We propose …
narcotic core) and visualise it in 3D for their better physiological understanding. We propose …