A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems

A Korolj, HT Wu, M Radisic - Biomaterials, 2019 - Elsevier
Optimal levels of chaos and fractality are distinctly associated with physiological health and
function in natural systems. Chaos is a type of nonlinear dynamics that tends to exhibit …

Improved window adaptive gray level co-occurrence matrix for extraction and analysis of texture characteristics of pulmonary nodules

H Chen, W Li, Y Zhu - Computer Methods and Programs in Biomedicine, 2021 - Elsevier
Abstract Background and Objective Identifying benign and malignant pulmonary nodules is
essential for the early diagnosis of lung cancer and targeted surgical resection. This study …

SEM-imaging-based mapping of monofractal and multifractal patterns of the Piper krukoffii Yunck leaf surface architecture

GQ Ramos, I da Costa Melo, RS Matos, EP Pinto… - Flora, 2023 - Elsevier
Abstract We employed Scanning Electron Microscopy (SEM) to investigate the monofractal
and multifractal characteristics of the leaf architecture of Amazon Piper krukoffii Yunck plant …

Local electrical characteristic of memristor structure in a high-resistance state obtained using electrostatic force microscopy: Fractal and multifractal dynamics of …

S Ramazanov, F Orudzhev, G Gajiev, V Holcman… - Applied Surface …, 2024 - Elsevier
Abstract A heterostructure BiFeO 3/TiO 2 (Nt) Ti (BFOT) was obtained by the atomic layer
deposition (ALD) method. After thermal treatment, the redistribution of Fe/Ti atoms forms an …

Computational quantitative MR image features-a potential useful tool in differentiating glioblastoma from solitary brain metastasis

K Petrujkić, N Milošević, N Rajković… - European Journal of …, 2019 - Elsevier
Purpose Glioblastomas (GBM) and metastases are the most frequent malignant brain tumors
in the adult population. Their presentation on conventional MRI is quite similar, but treatment …

Fractal and gray level cooccurrence matrix computational analysis of primary osteosarcoma magnetic resonance images predicts the chemotherapy response

GJ Djuričić, M Radulovic, JP Sopta, M Nikitović… - Frontiers in …, 2017 - frontiersin.org
The prediction of induction chemotherapy response at the time of diagnosis may improve
outcomes in osteosarcoma by allowing for personalized tailoring of therapy. The aim of this …

动态增强磁共振成像纹理分析预测乳腺癌新辅助化疗疗效.

孙赛花, 周纯武, 赵莉芸, 张仁知… - Chinese Journal of …, 2017 - search.ebscohost.com
动态增强磁共振成像纹理分析预测乳腺癌新辅助化疗疗效 Page 1 ·临床研究· 动态增强磁共振
成像纹理分析预测乳腺癌 新辅助化疗疗效 孙赛花周纯武赵莉芸张仁知欧阳汉 100021 国家癌症 …

The pan-cytokeratin staining intensity and fractal computational analysis of breast tumor malignant growth patterns prognosticate the occurrence of distant metastasis

N Rajković, X Li, KN Plataniotis, K Kanjer… - Frontiers in …, 2018 - frontiersin.org
Improved prognosis of breast cancer outcome could prolong patient survival by reliable
identification of patients at high risk of metastasis occurrence which could benefit from more …

Size and shape filtering of malignant cell clusters within breast tumors identifies scattered individual epithelial cells as the most valuable histomorphological clue in the …

V Vranes, N Rajković, X Li, KN Plataniotis, NT Raković… - Cancers, 2019 - mdpi.com
Survival and life quality of breast cancer patients could be improved by more aggressive
chemotherapy for those at high metastasis risk and less intense treatments for low-risk …

Novel application of the gray-level co-occurrence matrix analysis in the parvalbumin stained hippocampal gyrus dentatus in distinct rat models of Parkinson's disease

N Rajkovic, J Ciric, N Milosevic, J Saponjic - Computers in Biology and …, 2019 - Elsevier
To reveal the best choice of algorithm for parvalbumin-immunostained images of the
hippocampal gyrus dentatus in two distinct rat models of Parkinson's disease (PD) …