6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2023
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentation
Chunmeng Liu, Guangyao Li, Yao Shen +1
The initial seed based on the convolutional neural network (CNN) for weakly supervised semantic segmentation always highlights the most discriminative regions but fails to identify…
cs.CV2021★ 6 cited
Towards Interpretable Attention Networks for Cervical Cancer Analysis
Ruiqi Wang, Mohammad Ali Armin, Simon Denman +2
Recent advances in deep learning have enabled the development of automated frameworks for analysing medical images and signals, including analysis of cervical cancer. Many previous…