Results 101 to 110 of about 8,731 (212)

Seeing Through Scattering With Computational Advances: A Review

open access: yesAdvanced Photonics Research, Volume 7, Issue 6, June 2026.
In scattering media, light scrambles into random speckles and impedes our vision. Unlocking hidden information enables breakthroughs to see behind the opaqueness, inspiring applications in imaging, communication, and encryption. Unlike clear media such as clear water and air, a scattering medium is inhomogeneous, in which propagating photons are ...
Huanhao Li   +4 more
wiley   +1 more source

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

open access: yesApplied 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

ANALISIS KOMPARASI METODE PERBAIKAN KONTRAS BERBASIS HISTOGRAM EQUALIZATION PADA CITRA MEDIS

open access: yesSimetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2017
Citra merupakan gambaran tentang karakteristik suatu obyek menurut kondisi variabel tertentu. Pengolahan citra bertujuan memperbaiki kualitas citra agar mudah diinterpretasi oleh manusia atau mesin (dalam hal ini komputer).
Aditya Akbar Riadi   +2 more
doaj  

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

open access: yesEngineering 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   +2 more
wiley   +1 more source

Artificial Intelligence-Powered Breast Cancer Prognosis: Optimizing Deep Learning with Image Normalization

open access: yesEngineering Proceedings
Breast cancer is one of the most fatal cancers for women and requires accurate cancer diagnosis technology. In this research, we incorporated advanced image preprocessing methods, including histogram equalization (HE), stain normalization, intensity ...
Chang Yeou Yong   +3 more
doaj   +1 more source

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