A 2.5 D multi-path fusion network framework with focusing on z-axis 3D joint for medical image segmentation
F Xia, Y Peng, J Wang, X Chen - Biomedical Signal Processing and Control, 2024 - Elsevier
Accurate segmentation of organs and tumors from medical images is to diagnose and treat
diseases more accurately. Many organs, such as the representative pancreas and spleen …
diseases more accurately. Many organs, such as the representative pancreas and spleen …
Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
In the realm of practical fine-grained visual classification applications rooted in deep
learning a common scenario involves training a model using a pre-existing dataset …
learning a common scenario involves training a model using a pre-existing dataset …
Magnetic resonance image segmentation of rectal tumors based on improved CycleGAN and U-Net models
K Li, B Qi, M Wang - Multimedia Tools and Applications, 2024 - Springer
Accurate segmentation of rectal tumor lesion regions can provide an essential basis for
clinical treatment and prognosis monitoring of tumors. However, there are many problems in …
clinical treatment and prognosis monitoring of tumors. However, there are many problems in …
MTr-Net: A multipath fusion network based on 2.5 D for medical image segmentation
F Xia, Y Peng, J Wang, X Chen - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Accurate segmentation of organs and tumours from medical images is to diagnose and treat
diseases more accurately. Many organs, such as the representative pancreas and spleen …
diseases more accurately. Many organs, such as the representative pancreas and spleen …