A mathematical fuzzy fusion framework for whole tumor segmentation in multimodal MRI using Nakagami imaging

O Alpar - Expert Systems with Applications, 2023 - Elsevier
Automated lesion segmentation has become one of the most important tasks for the experts
and researchers dealing with intelligent image processing of brain magnetic resonance …

Nakagami-Fuzzy imaging framework for precise lesion segmentation in MRI

O Alpar, R Dolezal, P Ryska, O Krejcar - Pattern Recognition, 2022 - Elsevier
Nakagami distribution and related imaging methods are very efficient in diagnostic
ultrasonography for visualization and characterization of tissues for years. Abnormalities in …

Automated multiple sclerosis progression rate computation of a patient from 2D FLAIR images with Rayleigh-Weibull-Fuzzy imaging and augmented morphing method

O Alpar, O Soukup, P Ryska, P Paluska, M Valis… - Knowledge-Based …, 2024 - Elsevier
Multiple sclerosis (MS) is a neurological demyelinating disorder affecting brain and spinal
cord by attacking the myelin sheaths of nerves. Estimation of the volumetric changes in MS …

Content-aware Nakagami morphing for incremental brain MRI

O Alpar - Knowledge-Based Systems, 2024 - Elsevier
Within the carcinogenesis mechanism, from the initiation of the very first tumor cell to the
preneoplastic and neoplastic cancer cell groups, cancer cells omnidirectionally and …

Low-contrast lesion segmentation in advanced MRI experiments by time-domain Ricker-type wavelets and fuzzy 2-means

O Alpar, R Dolezal, P Ryska, O Krejcar - Applied Intelligence, 2022 - Springer
Automated suspicious region segmentation has become a crucial need for the experts
dealing with numerous images containing contrast-based lesions in MRI. Not all solutions …

Distribution-based imaging for multiple sclerosis lesion segmentation using specialized fuzzy 2-means powered by Nakagami transmutations

O Alpar, O Krejcar, R Dolezal - Applied Soft Computing, 2021 - Elsevier
Distribution-based imaging is a promising methodology mainly to differentiate suspicious
regions from surrounding tissues by applying a distribution to the images vertically or …

Nakagami-fuzzy imaging for grading brain tumors by analyzing fractal complexity

O Alpar - Applied Soft Computing, 2024 - Elsevier
Gliomas are the brain tumors in glial cells, which are categorized into four numerical grades,
I-II-III-IV, to quantize the aggressiveness and severity of the tumors; while divided into two …

Optimized hybrid SVM-RF multi-biometric framework for enhanced authentication using fingerprint, iris, and face recognition

A Singh, C Kant - PeerJ Computer Science, 2025 - peerj.com
This article introduces a hybrid multi-biometric system incorporating fingerprint, face, and iris
recognition to enhance individual authentication. The system addresses limitations of uni …

Novel thermal image classification based on techniques derived from mathematical morphology: case of breast cancer

S Mambou, O Krejcar, A Selamat, M Dobrovolny… - … : 8th International Work …, 2020 - Springer
Image processing (IP) is a method of converting an image to digital form by performing
operations on it to obtain an improved image or to extract useful information from it. It is a …

[HTML][HTML] Multi-biometric system based on cutting-edge equipment for experimental contactless verification

L Kolda, O Krejcar, A Selamat, K Kuca, O Fadeyi - Sensors, 2019 - mdpi.com
Biometric verification methods have gained significant popularity in recent times, which has
brought about their extensive usage. In light of theoretical evidence surrounding the …