MOCA-Net: A Model for Automatic Segmentation of Retrogressive Thaw Slumps from Sentinel-2 Imagery Along the Qinghai-Tibet Engineering Corridor. [PDF]
Li Y, Li Q, Chen G, Li W, Bao C.
europepmc +1 more source
Conveyor belt foreign object detection method based on improved YOLOv11 and ESRGAN. [PDF]
Li Q +5 more
europepmc +1 more source
Deep learning for high-resolution material texture enhancement in 3D environments. [PDF]
Alonso K, Patow G.
europepmc +1 more source
Penelitian ini membahas implementasi Enhanced Super Resolution Generative Adversarial Networks (ESRGAN) untuk meningkatkan resolusi citra ultrasonografi (USG) guna mendukung interpretasi pemeriksaan dini kelainan janin.
kurnia, Anggriani +2 more
core +2 more sources
Evaluating the effectiveness of satellite image super-resolution for road quality monitoring. [PDF]
Thegeya A +8 more
europepmc +1 more source
Super-Resolution Reconstruction of Reservoir Core CT Images via GAN: Advancing Energy Extraction Accuracy. [PDF]
Lv X, Li Y.
europepmc +1 more source
Efficient Medicinal Image Transmission and Resolution Enhancement via GAN
While X-ray imaging is indispensable in medical diagnostics, it inherently carries with it those noises and limitations on resolution that mask the details necessary for diagnosis.
Aparjeeta, Jeetashree +3 more
core
Edge-Aware Short-Chain Diffusion Enables High-Fidelity Sparse-Sampling Optoacoustic Tomography. [PDF]
Fan Y +5 more
europepmc +1 more source
Classification of Skin Diseases Using Transfer Learning with ResNet-50 Architecture and Data Preprocessing Using Real-ESRGAN and Wiener Filter [PDF]
The skin is a vital organ which serves as a barrier against external factors, yet it’s highly susceptible to diseases. These diseases are often presented as lesions with similar appearances, making it difficult to be diagnosed and prone to human errors ...
Jiemesha, Micheila +1 more
core
Application research of image super-resolution reconstruction technology based on diffusion model in 3D digital image correlation. [PDF]
Zhou D, Li H, Yao C, Chen H.
europepmc +1 more source

