Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

1 code implementation • 15 May 2024 • Yan Kong, Sheng Wang, Jiangdong Cai, Zihao Zhao, Zhenrong Shen, Yonghao Li, Manman Fei, Qian Wang

Accurate detection of vulvovaginal candidiasis is critical for women's health, yet its sparse distribution and visually ambiguous characteristics pose significant challenges for accurate identification by pathologists and neural networks alike.

Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening

no code implementations • 22 Feb 2024 • Zhenrong Shen, Manman Fei, Xin Wang, Jiangdong Cai, Sheng Wang, Lichi Zhang, Qian Wang

In the first Global Image Generation stage, a Normal Image Generator is designed to generate cytopathological images full of normal cervical cells.

Cell Detection Data Augmentation +1

Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images

no code implementations • 14 Nov 2023 • Zhiyun Song, Zengxin Qi, Xin Wang, Xiangyu Zhao, Zhenrong Shen, Sheng Wang, Manman Fei, Zhe Wang, Di Zang, Dongdong Chen, Linlin Yao, Qian Wang, Xuehai Wu, Lichi Zhang

Cross-modality synthesis (CMS), super-resolution (SR), and their combination (CMSR) have been extensively studied for magnetic resonance imaging (MRI).

Attribute Image Generation +2