Single-click automated fractal analysis for dental radiographs: a comparative evaluation with classic ImageJ method. [PDF]
Balel Y, Sağtaş K.
europepmc +1 more source
ABSTRACT This study offers a critique of imperialist relations implicit in U.S. Agency for International Development (USAID) pedagogical texts and capacity‐building resources designed to support decolonial Indigenous Mayan language and literacy instruction.
Jennifer F. Reynolds
wiley +1 more source
Automated Fractal Analysis of Right and Left Condyles on Digital Panoramic Images Among Patients With Temporomandibular Disorder (TMD) and Use of Machine Learning Algorithms in the Diagnosis of TMD. [PDF]
Raut SN, Patil PB.
europepmc +1 more source
ABSTRACT Insomnia may play a causal role in type 2 diabetes (T2D). Addressing insomnia through cognitive behavioural therapy (CBTi) in people with non‐diabetic hyperglycaemia could potentially reduce the risk of progression to T2D. To inform a future randomised trial, we performed a feasibility study of digital CBT (dCBTi) in individuals at increased ...
Rachel Sharman +11 more
wiley +1 more source
Fractal-geometry analysis of pediatric posterior fossa tumors - a preoperative tool for prediction of histopathology. [PDF]
Mezei T +5 more
europepmc +1 more source
A Review on Image Processing and Fractal Analysis in Oral Potentially Malignant Disorders
ABSTRACT Aim The clinical evaluation of patients with oral potentially malignant disorders is primarily based on physical examination and observable clinical features. Clinical photographs play a key role in patient monitoring and help identify signs that may indicate malignant transformation.
André Goulart Poletto +10 more
wiley +1 more source
A comprehensive analytical study of solitons and nonlinear dynamics in a concatenated DNLS-type model. [PDF]
Farooq FB +4 more
europepmc +1 more source
A non-destructive method for measuring the surface fractal dimension of foam concrete. [PDF]
Chen Q, Feng Y, Xiang G, Bai Y, Huang Z.
europepmc +1 more source
Quantitative color fundus photography parameters as potential biomarkers of axial length progression: evidence from a machine learning cohort study. [PDF]
Wang Z +8 more
europepmc +1 more source

