Reliable delineation of tumor boundaries in magnetic resonance imaging (MRI) is a prerequisite for surgical planning and treatment monitoring, yet conventional convolutional networks remain sensitive to the orientation and positional variability inherent to clinical acquisitions. We propose a segmentation network built...
C. Angelina, Fu-Ren Xiao, Sunil Vyas et al.· Optics and Photonics Interna...· 0 citations
Histological staining remains the diagnostic gold standard in renal pathology, but it requires labor-intensive preparation, specialized infrastructure, and skilled personnel. Isotropic quantitative differential phase contrast (iDPC) microscopy provides label-free morphological contrast by recovering the optical phase o...
Yuan-Chung Cheng, Yung-An Chen, Yi-Ting Chen et al.· Digital Holography and 3-D I...· 0 citations
Traditional quantitative differential phase-contrast (qDPC) imaging is constrained by the need for multiple intensity measurements, which limits its application for real-time living cell monitoring. This study introduces a single-shot quantitative DPC imaging method that integrates radially asymmetric color-encoded ill...
Ying-Ju Chen, Vu Quang Huy Tran, Sunil Vyas et al.· Optics and Photonics Interna...· 0 citations
This study benchmarks colonoscopy image reconstruction. We introduce a Latent Bank method to improve standard encoders, but High-Fidelity GAN Inversion achieves superior quality (FID = 22.12, MS-SSIM > 0.91), proving the best for colonoscopy images.
Vu Quang Huy Tran, C. Angelina, Sunil Vyas et al.· Digital Holography and 3-D I...· 0 citations
Three-dimensional (3D) tracking of microscopic objects is essential for probing dynamic processes across biological, microfluidic, and nanoscale systems. In-line digital holographic microscopy (DHM) provides a powerful framework for this purpose by encoding volumetric information into a single intensity measurement,...
