[HTML][HTML] Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images
Kidney tumors represent a significant medical challenge, characterized by their often-
asymptomatic nature and the need for early detection to facilitate timely and effective …
asymptomatic nature and the need for early detection to facilitate timely and effective …
Decoupled SculptorGAN Framework for 3D Reconstruction and Enhanced Segmentation of Kidney Tumors in CT Images
Our proposed work, SculptorGAN, represents a novel advancement in the domain of
medical imaging, for the accurate and automatic diagnosis of renal tumors, using the …
medical imaging, for the accurate and automatic diagnosis of renal tumors, using the …
MTAN: A semi-supervised learning model for kidney tumor segmentation
P Sun, S Yang, H Guan, T Mo, B Yu… - Journal of X-Ray …, 2023 - content.iospress.com
BACKGROUND: Medical image segmentation is crucial in disease diagnosis and treatment
planning. Deep learning (DL) 19 techniques have shown promise. However, optimizing DL …
planning. Deep learning (DL) 19 techniques have shown promise. However, optimizing DL …
[PDF][PDF] Sensor-Fused Augmented Reality: Pioneering Personalized Health Interventions Through Location-Awareness
KS Ramana - afjbs.com
Augmented Reality (AR) is rapidly evolving, offering users the ability to weave and
experience narratives that bridge virtual elements with the real world. Ensuring harmony …
experience narratives that bridge virtual elements with the real world. Ensuring harmony …