A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned
The successful early diagnosis of brain tumors plays a major role in improving the treatment
outcomes and thus improving patient survival. Manually evaluating the numerous magnetic …
outcomes and thus improving patient survival. Manually evaluating the numerous magnetic …
Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities-Challenges and future directions
Brain tumor segmentation and classification play a crucial role in the diagnosis and
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …
Surface recognition improvement in 3D medical laser scanner using Levenberg–Marquardt method
JC Rodriguez-Quinonez, O Sergiyenko… - Signal Processing, 2013 - Elsevier
The 3D measurements of the human body surface or anatomical areas have gained
importance in many medical applications. Three dimensional laser scanning systems can …
importance in many medical applications. Three dimensional laser scanning systems can …
Regions-of-interest based automated diagnosis of Parkinson's disease using T1-weighted MRI
Parkinson's disease (PD) is the second most common neurodegenerative disorder of the
central nervous system. For its early management and accurate prognosis, there is a need to …
central nervous system. For its early management and accurate prognosis, there is a need to …
A deep neural network based classifier for brain tumor diagnosis
Classification process plays a key role in diagnosing brain tumors. Earlier research works
are intended for identifying brain tumors using different classification techniques. However …
are intended for identifying brain tumors using different classification techniques. However …
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks
C Arizmendi, A Vellido, E Romero - Expert Systems with Applications, 2012 - Elsevier
The diagnosis of brain tumours is an extremely sensitive and complex clinical task that must
rely upon information gathered through non-invasive techniques. One such technique is …
rely upon information gathered through non-invasive techniques. One such technique is …
A deep-structural medical image classification for a radon-based image retrieval
Content-based image retrieval is an effective and efficient technique to retrieve images from
a big dataset with similar images. To have a robust retrieval system, a proper and accurate …
a big dataset with similar images. To have a robust retrieval system, a proper and accurate …
A novel approach for detection of intracranial tumor using image segmentation based on cellular automata
The tumor formation or the multiplication of malignant cells that needed to be diagnosed with
computer-assisted tumor detection and when dealing with human life must have …
computer-assisted tumor detection and when dealing with human life must have …
Graph‐theory‐based spectral feature selection for computer aided diagnosis of Parkinson's disease using T 1‐weighted MRI
Introduction Parkinson's disease (PD) is a neurological disorder, which is diagnosed on the
basis of clinical history and examination alone as there are no diagnostic tests available …
basis of clinical history and examination alone as there are no diagnostic tests available …
Classification of brain tumours from MR spectra: the INTERPRET collaboration and its outcomes
The INTERPRET project was a multicentre European collaboration, carried out from 2000 to
2002, which developed a decision‐support system (DSS) for helping neuroradiologists with …
2002, which developed a decision‐support system (DSS) for helping neuroradiologists with …