Search Results for author: Fangda Li

Found 4 papers, 3 papers with code

A Laplacian Pyramid Based Generative H&E Stain Augmentation Network

1 code implementation23 May 2023 Fangda Li, Zhiqiang Hu, Wen Chen, Avinash Kak

Hematoxylin and Eosin (H&E) staining is a widely used sample preparation procedure for enhancing the saturation of tissue sections and the contrast between nuclei and cytoplasm in histology images for medical diagnostics.

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review

1 code implementation5 May 2023 Chuang Zhu, ShengJie Liu, Zekuan Yu, Feng Xu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin

For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan.

Image Generation SSIM

Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs

1 code implementation10 Mar 2023 Fangda Li, Zhiqiang Hu, Wen Chen, Avinash Kak

In our experiment, we demonstrate that our proposed method outperforms existing image-to-image translation methods for stain translation to multiple IHC stains.

Contrastive Learning Image-to-Image Translation +2

A Splitting-Based Iterative Algorithm for GPU-Accelerated Statistical Dual-Energy X-Ray CT Reconstruction

no code implementations2 May 2019 Fangda Li, Ankit Manerikar, Tanmay Prakash, Avinash Kak

When dealing with material classification in baggage at airports, Dual-Energy Computed Tomography (DECT) allows characterization of any given material with coefficients based on two attenuative effects: Compton scattering and photoelectric absorption.

General Classification Material Classification

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