AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation

no code implementations • 16 Apr 2024 • Zexin Li, Yiyang Lin, Zijie Fang, Shuyan Li, Xiu Li

In this paper, we propose the Attention-Based Varifocal Generative Adversarial Network (AV-GAN), which solves multiple problems in pathologic image translation tasks, such as uneven translation difficulty in different regions, mutual interference of multiple resolution information, and nuclear deformation.

Generative Adversarial Network Translation

Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma

no code implementations • 11 Oct 2023 • Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang

Biomarker detection is an indispensable part in the diagnosis and treatment of low-grade glioma (LGG).

Multiple Instance Learning One-Class Classification +1