A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

X Li, C Li, MM Rahaman, H Sun, X Li, J Wu… - Artificial Intelligence …, 2022 - Springer
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

Texture analysis in cerebral gliomas: a review of the literature

N Soni, S Priya, G Bathla - American Journal of …, 2019 - Am Soc Neuroradiology
Texture analysis is a continuously evolving, noninvasive radiomics technique to quantify
macroscopic tissue heterogeneity indirectly linked to microscopic tissue heterogeneity …

Machine-learning-based classification of the histological subtype of non-small-cell lung cancer using MRI texture analysis

E Bębas, M Borowska, M Derlatka, E Oczeretko… - … Signal Processing and …, 2021 - Elsevier
Objective Accurate differentiation of the histological sub-type of ono-small-cell lung cancer
(NSCLC) at an early stage of diagnosis is crucial in choosing appropriate treatment option …

Standardised convolutional filtering for radiomics

A Depeursinge, V Andrearczyk, P Whybra… - arXiv preprint arXiv …, 2020 - arxiv.org
The Image Biomarker Standardisation Initiative (IBSI) aims to improve reproducibility of
radiomics studies by standardising the computational process of extracting image …

[HTML][HTML] Advances of AI in image-based computer-aided diagnosis: A review

MN Yeasmin, M Al Amin, TJ Joti, Z Aung, MA Azim - Array, 2024 - Elsevier
Over the past two decades, computer-aided detection and diagnosis have emerged as a
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …

Advances in thermal image analysis for the detection of pregnancy in horses using infrared thermography

M Domino, M Borowska, N Kozłowska, Ł Zdrojkowski… - Sensors, 2021 - mdpi.com
Infrared thermography (IRT) was applied as a potentially useful tool in the detection of
pregnancy in equids, especially native or wildlife. IRT measures heat emission from the …

Identifying defects and varieties of Malting Barley Kernels

M Kozłowski, PM Szczypiński, J Reiner, P Lampa… - Scientific Reports, 2024 - nature.com
This study introduces a comprehensive approach for classifying individual malting barley
kernels, involving dual-sided kernel imaging, a specifically designed image processing …

[HTML][HTML] Assessment of ventricular tachyarrhythmia in patients with hypertrophic cardiomyopathy with machine learning-based texture analysis of late gadolinium …

D Alis, A Guler, M Yergin, O Asmakutlu - Diagnostic and Interventional …, 2020 - Elsevier
Objective To assess the diagnostic value of machine learning-based texture feature analysis
of late gadolinium enhancement images on cardiac magnetic resonance imaging (MRI) for …

Selection of image texture analysis and color model in the advanced image processing of thermal images of horses following exercise

M Domino, M Borowska, N Kozłowska, A Trojakowska… - Animals, 2022 - mdpi.com
Simple Summary Detecting horse state after exercise is critical for maximizing athletic
performance. The horse's response to fatigue includes exercise termination or exercise …

Differentiating high-grade gliomas from brain metastases at magnetic resonance: the role of texture analysis of the peritumoral zone

C Csutak, PA Ștefan, LM Lenghel, CO Moroșanu… - Brain Sciences, 2020 - mdpi.com
High-grade gliomas (HGGs) and solitary brain metastases (BMs) have similar imaging
appearances, which often leads to misclassification. In HGGs, the surrounding tissues show …