Related references
Note: Only part of the references are listed.Removal of salt and pepper noise from images using hybrid filter (HF) and fuzzy logic noise detector (FLND)
A. Senthil Selvi et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2019)
A central-point-enhanced convolutional neural network for high-resolution remote-sensing image classification
Xin Pan et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2017)
A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field
Mingsheng Chen et al.
COMPUTER ASSISTED SURGERY (2017)
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Sergio Pereira et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern H. Menze et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)
Invariant Scattering Convolution Networks
Joan Bruna et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Bat algorithm: a novel approach for global engineering optimization
Xin-She Yang et al.
ENGINEERING COMPUTATIONS (2012)
Bat algorithm for multi-objective optimisation
Xin-She Yang
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION (2011)
Review of brain MRI image segmentation methods
M. A. Balafar et al.
ARTIFICIAL INTELLIGENCE REVIEW (2010)
N4ITK: Improved N3 Bias Correction
Nicholas J. Tustison et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)
The 2007 WHO classification of tumours of the central nervous system
David N. Louis et al.
ACTA NEUROPATHOLOGICA (2007)
MRI fuzzy segmentation of brain tissue using neighborhood attraction with neural-network optimization
S Shen et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2005)
Share Paper
