Deep Learning for Nasopharyngeal Carcinoma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-analysis
Nasopharyngeal carcinoma is a significant health challenge that is particularly prevalent in
Southeast Asia and North Africa. MRI is the preferred diagnostic tool for NPC due to its …
Southeast Asia and North Africa. MRI is the preferred diagnostic tool for NPC due to its …
Deep-learning based triple-stage framework for MRI-CT cross-modality gross tumor volume (GTV) segmentation for rectal cancer neoadjuvant radiotherapy
J Geng, S Zhang, R Wang, L Bai, Q Chen… - … Signal Processing and …, 2024 - Elsevier
Background & objective Delineation of the gross tumor volume (GTV) for rectal cancer is
pivotal for successful radiotherapy (RT) treatment, but the procedure is cross-modality …
pivotal for successful radiotherapy (RT) treatment, but the procedure is cross-modality …
[HTML][HTML] KARAN: Mitigating Feature Heterogeneity and Noise for Efficient and Accurate Multimodal Medical Image Segmentation
X Gu, Y Chen, W Tong - Electronics, 2024 - mdpi.com
Multimodal medical image segmentation is challenging due to feature heterogeneity across
modalities and the presence of modality-specific noise and artifacts. These factors hinder the …
modalities and the presence of modality-specific noise and artifacts. These factors hinder the …
Cross-Modal PET Synthesis Method Based on Improved Edge-Aware Generative Adversarial Network
L Lei, R Zhang, H Zhang, X Li, Y Zou… - Journal of …, 2023 - ingentaconnect.com
Current cross-modal synthesis techniques for medical imaging have limits in their ability to
accurately capture the structural information of human tissue, leading to problems such edge …
accurately capture the structural information of human tissue, leading to problems such edge …