Multi-View Transformation Network (MVTN): New Advances in 3D Understanding Research Background and Motivation Recent advancements in deep learning for 3D data in computer vision have achieved significant success, particularly in tasks like classification, segmentation, and retrieval. However, effectively utilizing 3D shape information remains a cha...

Research on Cross-Scale Co-Occurrence Local Binary Pattern (CS-COLBP) for Image Classification Image classification is a key area in computer vision, with feature extraction being its core research focus. The Local Binary Pattern (LBP), due to its efficiency and descriptive power, has been widely used in tasks such as texture classification and fac...

GAN Inversion and Image Editing New Method: Warping the Residuals for Image Editing with StyleGAN Background and Research Problem Generative Adversarial Networks (GANs) have made remarkable progress in the field of image generation, enabling the synthesis and editing of high-quality images. StyleGAN models, known for their semantically interpretabl...

Background and Significance Object re-identification (Re-ID) is an essential task in computer vision aimed at identifying specific objects across different times and scenes. Driven by deep learning, particularly convolutional neural networks (CNNs), this field has made significant strides. However, the emergence of vision transformers has opened ne...

Study on the Association Between Long-Term Cancer Risk and Epigenetic Age in Stroke Survivors Background and Significance Cancer and stroke are leading global causes of morbidity and mortality, with their association being increasingly recognized. Statistics show that about 6% of cancer patients experience a stroke during their lifetime, while stro...

Neoadjuvant Oncolytic Virus OrienX010 Combined with PD-1 Inhibitor Toripalimab for Resectable Acral Melanoma: Phase Ib Clinical Trial Background Acral melanoma (AM) is a highly aggressive subtype of melanoma with a high incidence in the Chinese population, accounting for approximately 40% of melanoma cases. Despite advances in melanoma treatment, c...

Research Report on Efferocytosis Features and Their Prognostic and Immunotherapy Associations in Lung Adenocarcinoma Background and Research Motivation Lung cancer is a leading cause of cancer-related mortality worldwide, with lung adenocarcinoma (LUAD) being the most common histological subtype. Due to the insidious nature of the disease and lack ...

Tumor Analysis of BRCA1/2 Carriers: Genomic Similarities Evident Across Different Time Points Breast cancer (BC) is the most common malignant tumor among women globally, with its pathogenesis predominantly sporadic, while familial hereditary cases account for only 5% to 10%. Among various pathogenic molecules, mutations in the BRCA1/2 genes (Pathog...

The Impact of Radioresistant-Related Telomere Genes on Prognosis and Immune Infiltration in Lung Adenocarcinoma Lung adenocarcinoma (LUAD), a common subtype of non-small cell lung cancer (NSCLC), has a high incidence and mortality rate. Despite significant progress in early detection and treatment, the overall survival (OS) rate of LUAD patients re...

Multi-omics Analysis Reveals Predictors of Survival in African American AML Patients Background and Objectives Acute Myeloid Leukemia (AML) is a hematologic malignancy characterized by clonal expansion of myeloid progenitor cells driven by genomic alterations. Despite advances in genomic profiling, studies focusing on diverse ancestral populations ...