[HTML][HTML] Challenges and limitations in applying radiomics to PET imaging: possible opportunities and avenues for research

A Stefano - Computers in Biology and Medicine, 2024 - Elsevier
Radiomics, the high-throughput extraction of quantitative imaging features from medical
images, holds immense potential for advancing precision medicine in oncology and beyond …

Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians

A Abbasian Ardakani, O Airom… - … of Ultrasound in …, 2024 - Wiley Online Library
Artificial intelligence (AI) models can play a more effective role in managing patients with the
explosion of digital health records available in the healthcare industry. Machine‐learning …

[HTML][HTML] Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade …

M Acharya, RC Deo, X Tao, PD Barua, A Devi… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objectives Mild Cognitive Impairment (MCI) and Alzheimer's
Disease (AD) are progressive neurological disorders that significantly impair the cognitive …

Hybrid Wavelet‐Deep Learning Framework for Fluorescence Microscopy Images Enhancement

F Branciforti, M Maggiore, KM Meiburger… - … Journal of Imaging …, 2024 - Wiley Online Library
Fluorescence microscopy is a powerful tool for visualizing cellular structures, but it faces
challenges such as noise, low contrast, and autofluorescence that can hinder accurate …

Leveraging AI for sustainable accounting: Developing models for environmental impact assessment and reporting

BO Adelakun, BO Antwi, A Ntiakoh… - Finance & Accounting …, 2024 - fepbl.com
Abstract The integration of Artificial Intelligence (AI) in sustainable accounting represents a
transformative approach to enhancing the accuracy, efficiency, and comprehensiveness of …