3 papers
eess.IV2021
Image Complexity Guided Network Compression for Biomedical Image Segmentation
Suraj Mishra, Danny Z. Chen, X. Sharon Hu
Compression is a standard procedure for making convolutional neural networks (CNNs) adhere to some specific computing resource constraints. However, searching for a compressed arch…
cs.CV2021
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Suraj Mishra, Danny Z. Chen, X. Sharon Hu
From diagnosing neovascular diseases to detecting white matter lesions, accurate tiny vessel segmentation in fundus images is critical. Promising results for accurate vessel segmen…
cs.CV2019
CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation
Suraj Mishra, Peixian Liang, Adam Czajka +2
Convolutional neural networks (CNNs) for biomedical image analysis are often of very large size, resulting in high memory requirement and high latency of operations. Searching for…