Results 51 to 60 of about 4,069 (180)

Optimized Deep Learning Framework for Diabetic Retinopathy Based on Systematic Multi‐Stage Transfer Learning and Predictive Risk Stratification

Applied AI Letters, Volume 7, Issue 2, June 2026.
A multi‐stage transfer learning framework systematically optimizes CNN architectures for diabetic retinopathy detection and risk stratification from fundus images. EfficientNetB7 achieves 96% accuracy while a survival‐inspired model generates continuous risk scores aligned with DR severity for clinically meaningful patient risk assessment.
Mujidat Jibrin, Abdsamad Benkrid
wiley   +1 more source

Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods

Sakarya University Journal of Computer and Information Sciences
In the field of animal husbandry, the process of animal identification and recognition is challenging, time-consuming, and costly. In Türkiye, the ear tagging method is widely used for animal identification.
Ahmet Saygılı, Nihat Eren Özmen, Özgür Aksoy, Alican Yılmaz, Uğur Aydın, Celal Şahin Ermutlu, Muhammed Akyüzlü, Pınar Cihan   +7 more
doaj   +1 more source

DualPath‐DRNet: A Self‐Annotating Dual‐Path Networks for End‐To‐End Diabetic Retinopathy Diagnosis

Engineering Reports, Volume 8, Issue 6, June 2026.
DualPath‐DRNet for automated diabetic retinopathy diagnosis and grading. ABSTRACT One of the challenges in detecting Diabetic Retinopathy (DR) is the detection of subtle early‐stage microaneurysms. DualPath‐DRNet is an end‐to‐end deep learning pipeline for 5‐class DR prediction. The novelty of this method lies in combining lesion detection using YOLOv8,
Ankur Chaudhary, Neetu Faujdar, Ghanshyam Singh   +2 more
wiley   +1 more source

LUNGINFORMER: A Multiclass of lung pneumonia diseases detection based on chest X-ray image using contrast enhancement and hybridization inceptionresnet and transformer

IJAIN (International Journal of Advances in Intelligent Informatics)
Lung pneumonia is categorically a serious disease on Earth. In December 2019, COVID-19 was first identified in Wuhan, China. COVID-19 caused severe lung pneumonia.
Hanafi Hanafi
doaj   +1 more source

Lung Segmentation in X-ray Images of Tuberculosis Patients Using U-Net with CLAHE Preprocessing

Journal of Applied Informatics and Computing
Tuberculosis (TB) is an infectious disease that commonly affects the lungs and remains one of the leading causes of death from infectious diseases. Early detection is essential to prevent further spread and organ damage. Chest X-ray images are one of the
Ibnu Farid Mabina, Christy Atika Sari, Eko Hari Rachmawanto   +2 more
doaj   +1 more source

Single‐Cell Metabolic Imaging and Digital Scoring of Fat Tissue Remodeling by Label‐Free Metabolic Microscopy

Advanced Science, Volume 13, Issue 28, 18 May 2026.
Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim, Constantin Berger, Alexander Wolf, Alina Peteranderl, Martin Klingenspor, Vasilis Ntziachristos, Yongguo Li, Miguel A. Pleitez   +7 more
wiley   +1 more source

UAV-based inspection of wind turbine blade surface defects detection technology

Diance yu yibiao
Under the background of “double carbon”, it is particularly important to vigorously develop new energy. Wind power generation is an important clean energy, and the scale of wind power is also expanding in the field of new energy.
TAN Xingguo, ZHANG Gaoming
doaj   +1 more source

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa, Gillian Kuehnle, Yoo Jung (Erika) Oh, Jiyoon Yi   +3 more
wiley   +1 more source

Mitochondrial morphology in human fibroblasts and induced pluripotent stem cells in Leigh syndrome: A comparative analysis

Physiological Reports, Volume 14, Issue 9, May 2026.
Abstract Mitochondria are dynamic organelles that regulate several vital cellular functions in both health and disease. Accurately quantifying different mitochondrial shapes using simple, affordable techniques remains challenging. We have previously developed a Mitochondrial Cellular Phenotype (MitoCellPhe) tool to quantify 24 different mitochondrial ...
Fibi Meshrkey, Ajibola B. Bakare, Raj R. Rao, Shilpa Iyer   +3 more
wiley   +1 more source

Klasifikasi Penyakit Paru-Paru Berdasarkan Peningkatan Kualitas Kontras dan EfficientNet Menggunakan Gambar X-Ray

Teknika
COVID-19 dan penyakit paru-paru telah menjadi faktor utama penyebab kematian manusia di seluruh dunia. Kematian pasien dipengaruhi oleh keterlambatan deteksi dini.
Asfa Dhevi Azzumzumi, Muhammad Hanafi, Windha Mega Pradnya Dhuhita   +2 more
doaj   +1 more source