Search Results for author: Shuhang Wang

Found 6 papers, 0 papers with code

VEDA: Uneven light image enhancement via a vision-based exploratory data analysis model

no code implementations25 May 2023 Tian Pu, Shuhang Wang, Zhenming Peng, Qingsong Zhu

Then, a weighted averaging strategy based on the residual image is designed to obtain the output image by combining enhanced results at multiple scales.

Image Enhancement

Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model

no code implementations6 Apr 2021 Yuhao Zhang, Shuhang Wang, Haoxiang Wu, Kejia Hu, Shufan Ji

In the clinical diagnosis and treatment of brain tumors, manual image reading consumes a lot of energy and time.

General Classification

Network-Agnostic Knowledge Transfer for Medical Image Segmentation

no code implementations23 Jan 2021 Shuhang Wang, Vivek Kumar Singh, Alex Benjamin, Mercy Asiedu, Elham Yousef Kalafi, Eugene Cheah, Viksit Kumar, Anthony Samir

The salient features of our algorithm include: 1)no need for original training data or generative networks, 2) knowledge transfer between different architectures, 3) ease of implementation for downstream tasks by using the downstream task dataset as the transferal dataset, 4) knowledge transfer of an ensemble of models, trained independently, into one student model.

Image Segmentation Knowledge Distillation +3

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging

no code implementations20 Mar 2020 Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, JingChao Wang, XiaoHong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir

Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data.

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