Radiomic features of the hippocampus for diagnosing early-onset and late-onset Alzheimer's disease

Y Du, S Zhang, Y Fang, Q Qiu, L Zhao… - Frontiers in Aging …, 2022 - frontiersin.org
Background: Late-onset Alzheimer's disease (LOAD) and early-onset Alzheimer's disease
(EOAD) are different subtypes of AD. This study aimed to build and validate radiomics …

Bounds for Haralick features in synthetic images with sinusoidal gradients

A Oprisan, SA Oprisan - Frontiers in Signal Processing, 2023 - frontiersin.org
Introduction: The gray-level co-occurrence matrix (GLCM) reduces the dimension of an
image to a square matrix determined by the number of gray-level intensities present in that …

Computer techniques for detection of breast cancer and follow up neoadjuvant treatment: Using infrared examinations

A dos Santos Araujo, R Resmini… - … Anthology on Medical …, 2023 - igi-global.com
This chapter explores several steps of the thermal breast exams analysis process in
detecting breast abnormality and evaluating the response of pre-surgical treatment. Topics …

On efficient computation of texture descriptors from sum and difference histograms considering the scales of patterns

A Araujo, A Conci, M Moran, R Melo… - 2018 IEEE/ACS 15th …, 2018 - ieeexplore.ieee.org
Several computational activities, such as image segmentation and classification, use texture
information. This information, also called descriptors, is typically calculated through the Gray …

Determining the Direction of Images Using Sum and Difference Histograms and Texture Descriptors

AS Araujo, R Resmini, A Conci - … International Conference on …, 2020 - ieeexplore.ieee.org
One of the most used statistical approaches in the literature for computing texture
information is the Gray Level Cooccurrence Matrix (GLCM). The use of GLCM and textures …