Boosting Few-Shot Semantic Segmentation with Prior-Driven Edge Feature Enhancement Network

Boosting Few-Shot Semantic Segmentation with Prior-Driven Edge Feature Enhancement Network

Information Science, Computer Science, Artificial Intelligence,
few-shot learning   semantic segmentation   edge features   prior information   deep learning   object boundaries   edge enhancement  

A New Approach to Enhance Few-Shot Semantic Segmentation: Prior-Driven Edge Feature Enhancement Network In the field of artificial intelligence, semantic segmentation is a core technology in computer vision that aims to assign semantic category labels to every pixel in an image. However, traditional semantic segmentation methods rely on large amoun...

Generative AI for Bone Scintigraphy Image Synthesis and Enhanced Deep Learning Model Generalization in Data-Constrained Settings

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
generative AI   bone scintigraphy   deep learning   data augmentation   multicenter   molecular imaging   medical imaging  

Breakthrough Applications of Generative Artificial Intelligence in Nuclear Medicine: Exploring the Potential of Synthetic Bone Scintigraphy Images and Their Application in Deep Learning Background and Research Questions In recent years, the rapid development of Artificial Intelligence (AI) has revolutionized medical imaging analysis. For instance, ...

PSMA PET/CT-based Multimodal Deep Learning Model for Accurate Prediction of Pelvic Lymph-Node Metastases in Prostate Cancer

Information Science, Artificial Intelligence, Medicine, Urology, Medical Imaging, Oncology,
prostate cancer   lymph node metastases   prostate-specific membrane antigen   PET/CT   deep learning  

In-depth Analysis of PSMA PET/CT-based Multimodal Deep Learning Model for Predicting Lymph Node Metastases in Prostate Cancer Patients Background Prostate cancer (PCA) is one of the most common malignant tumors in men and a leading cause of cancer-related deaths. In clinically localized prostate cancer patients, extended pelvic lymph node dissectio...

EvoAI Enables Extreme Compression and Reconstruction of the Protein Sequence Space

Information Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering, Genetics,
protein engineering   deep learning   sequence space compression   high-dimensional space   biomolecular design  

Extreme Compression and Reconstruction of Protein Sequence Space: A Breakthrough Study on EvoAI Background Protein design and optimization have become central challenges in fields like biotechnology, medicine, and synthetic biology. The functions of proteins are determined by their sequences and structures, but this functional sequence space is hig...

Overcoming the Preferred-Orientation Problem in Cryo-EM with Self-Supervised Deep Learning

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Biophysics,
cryo-EM   preferred-orientation problem   self-supervised learning   deep learning   3D reconstruction   molecular structure   biological macromolecules  

Overcoming the Preferred-Orientation Problem in Single-Particle Cryo-EM: An Innovative Solution through Deep Learning Background Introduction In recent years, single-particle cryogenic electron microscopy (Single-Particle Cryo-EM) has become a core technique in structural biology due to its ability to resolve the atomic-resolution structures of bio...