A meaningful learning method for zero-shot semantic segmentation

X Liu, S Bai, S An, S Wang, W Liu, X Zhao… - Science China Information …, 2023 - Springer
Zero-shot semantic segmentation, which is developed to segment unseen categories, has
attracted increasing attention due to its strong practicability. Previous approaches usually …

Faster rcnn target detection algorithm integrating cbam and fpn

W Sheng, X Yu, J Lin, X Chen - Applied Sciences, 2023 - mdpi.com
In the process of image shooting, due to the influence of angle, distance, complex scenes,
illumination intensity, and other factors, small targets and occluded targets will inevitably …

Confidence-weighted mutual supervision on dual networks for unsupervised cross-modality image segmentation

Y Chen, X Yang, X Bai - Science China Information Sciences, 2023 - Springer
The unsupervised cross-modality image segmentation has gained much attention. Many
methods attempt to align different modalities via adversarial learning. Recently, self-training …

Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors

S Hussain, X Xi, I Ullah, SW Naim, K Shaheed… - Science China …, 2023 - Springer
Breast tumor segmentation is vital to tumor detection at the early stages. Deep learning
methods are typically used in automatic tumor segmentation tasks. However, in existing …

Lymph Node Ultrasound Image Segmentation Algorithm Based on Multimodal Image Fusion and DMA-UNet

S Tan, Z Wen, Y Fu, Z Deng, S Gao… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Lymph nodes are important peripheral immune organs in the human immune system, and a
variety of systemic and restrictive diseases can attack lymph nodes, leading to changes in …