Applications and prospects of artificial intelligence-assisted endoscopic ultrasound in digestive system diseases
J Huang, X Fan, W Liu - Diagnostics, 2023 - mdpi.com
Endoscopic ultrasound (EUS) has emerged as a widely utilized tool in the diagnosis of
digestive diseases. In recent years, the potential of artificial intelligence (AI) in healthcare …
digestive diseases. In recent years, the potential of artificial intelligence (AI) in healthcare …
[HTML][HTML] Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent
need for precise diagnosis, as these diseases greatly affect human life and contribute to …
need for precise diagnosis, as these diseases greatly affect human life and contribute to …
Explainable AI for gastrointestinal disease diagnosis in telesurgery Healthcare 4.0
The escalating prevalence of gastrointestinal disorders, spanning a spectrum from polyps to
tumors, underscores the imperative for advanced diagnostic and interventional …
tumors, underscores the imperative for advanced diagnostic and interventional …
[HTML][HTML] A Review of Application of Deep Learning in Endoscopic Image Processing
Z Nie, M Xu, Z Wang, X Lu, W Song - Journal of Imaging, 2024 - mdpi.com
Deep learning, particularly convolutional neural networks (CNNs), has revolutionized
endoscopic image processing, significantly enhancing the efficiency and accuracy of …
endoscopic image processing, significantly enhancing the efficiency and accuracy of …
Classification of freshwater fish diseases in Bangladesh using a novel ensemble deep learning model: Enhancing accuracy and interpretability
A Al Maruf, SH Fahim, R Bashar, RA Rumy… - IEEE …, 2024 - ieeexplore.ieee.org
Effective disease management and mitigation strategies for fish diseases depend on timely
and accurate diagnosis. In recent years, artificial intelligence methods—classification …
and accurate diagnosis. In recent years, artificial intelligence methods—classification …
[HTML][HTML] Gastric cancer detection with ensemble learning on digital pathology: Use case of gastric cancer on gashissdb dataset
GR Mudavadkar, M Deng, SMA Al-Heejawi, IH Arora… - Diagnostics, 2024 - mdpi.com
Simple Summary Gastric cancer is a major worldwide health concern, underscoring the
importance of early detection to enhance patient outcomes. Traditional histological analysis …
importance of early detection to enhance patient outcomes. Traditional histological analysis …
Medical Data Analysis Meets Artificial Intelligence (AI) and Internet of Medical Things (IoMT)
AI is a contemporary methodology rooted in the field of computer science. It involves the
creation of programs and algorithms that fill devices with the ability to exhibit intelligence …
creation of programs and algorithms that fill devices with the ability to exhibit intelligence …
[HTML][HTML] Towards precise chronic disease management: A combined approach with binary metaheuristics and ensemble deep learning
N Mohamed, RL Almutairi, S Abdelrahim… - Journal of Radiation …, 2024 - Elsevier
Chronic disease (CD) recognition involves identifying the existence or risk of CDs in
individuals. CDs have chronic health illnesses categorized by slow progression and …
individuals. CDs have chronic health illnesses categorized by slow progression and …
[HTML][HTML] Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis
Gastrointestinal (GI) diseases are prevalent medical conditions that require accurate and
timely diagnosis for effective treatment. To address this, we developed the Multi-Fusion …
timely diagnosis for effective treatment. To address this, we developed the Multi-Fusion …
Weighted ensemble deep learning approach for classification of gastrointestinal diseases in colonoscopy images aided by explainable AI
Gastrointestinal diseases are significant health issues worldwide, requiring early diagnosis
due to their serious health implications. Therefore, detecting these diseases using artificial …
due to their serious health implications. Therefore, detecting these diseases using artificial …