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eess.IV2022★ 3 cited
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference
Yang Liu, Ersi Zhang, Lulu Xu +13
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) s…
eess.IV2021★ 8 cited
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
Xin He, Shihao Wang, Xiaowen Chu +6
The COVID-19 pandemic has spread globally for several months. Because its transmissibility and high pathogenicity seriously threaten people's lives, it is crucial to accurately and…
eess.IV2020
Virtual brightfield and fluorescence staining for Fourier ptychography via unsupervised deep learning
Ruihai Wang, Pengming Song, Shaowei Jiang +6
Fourier ptychographic microscopy (FPM) is a computational approach geared towards creating high-resolution and large field-of-view images without mechanical scanning. To acquire co…