CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation

no code implementations • 10 Mar 2024 • Dawei Fan, Yifan Gao, Jiaming Yu, Yanping Chen, Wencheng Li, Chuancong Lin, Kaibin Li, Changcai Yang, Riqing Chen, Lifang Wei

Deep learning models have shown promising performance for cell nucleus segmentation in the field of pathology image analysis.

Causal Inference Image Segmentation +1

OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection

no code implementations • 28 Jun 2023 • Jiaming Yu, Zihao Guan, Xinyue Chang, Shujie Liu, Zhenshan Shi, Xiumei Liu, Changcai Yang, Riqing Chen, Lanyan Xue, Lifang Wei

Since the strong comorbid similarity in NDDs, such as attention-deficit hyperactivity disorder, can interfere with the accurate diagnosis of autism spectrum disorder (ASD), identifying unknown classes is extremely crucial and challenging from NDDs.

open-set classification Open Set Learning