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GeometryFormer: Semi-Convolutional Transformer Integrated with Geometric Perception for Depth Completion in Autonomous Driving Scenes.
Sensors (Basel)
December 2024
National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130025, China.
Depth completion is widely employed in Simultaneous Localization and Mapping (SLAM) and Structure from Motion (SfM), which are of great significance to the development of autonomous driving. Recently, the methods based on the fusion of vision transformer (ViT) and convolution have brought the accuracy to a new level. However, there are still two shortcomings that need to be solved.
View Article and Find Full Text PDFGLNet: global-local feature network for wheat leaf disease image classification.
Front Plant Sci
December 2024
College of International Studies, National University of Defense Technology, Nanjing, China.
Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat leaf disease, this paper proposes a global local feature network, i.e. GLNet, which adopts a unique global-local convolutional neural network architecture, realizes the comprehensive capturing of multi-scale features in an image by processing the global feature block and local feature block in parallel and integrating the information of both of them with the help of a feature fusion block.
View Article and Find Full Text PDFGenomic and Transcriptomic Profiling of Digital Papillary Adenocarcinomas Reveals Alterations in Matrix Remodeling and Metabolic Genes.
J Cutan Pathol
January 2025
Department of Pathology and Dermatology, NYU Langone Medical Center, New York, New York, USA.
Background: Digital papillary adenocarcinoma (DPAC) is a rare but aggressive cutaneous malignant sweat gland neoplasm that occurs on acral sites. Despite its clinical significance, the cellular and genetic characteristics of DPAC remain incompletely understood.
Methods: We conducted a comprehensive genomic and transcriptomic analysis of DPAC (n = 14) using targeted next-generation DNA and RNA sequencing, along with gene expression profiling employing the Nanostring Technologies nCounter IO 360 Panel.
Total wrist arthrodesis in patients with advanced osteoarthritis: current implants and outcomes.
J Hand Surg Eur Vol
January 2025
Hand & Wrist Unit, Genolier Campus, Vaud, Switzerland.
Article Synopsis
- Total wrist arthrodesis is an option for treating severe wrist osteoarthritis after other treatments fail, serving as a last-resort procedure.
- Patients generally report satisfaction post-surgery, but may still experience pain and limited wrist movement.
- Frequent complications arise, often relating to incomplete bone fusion or hardware issues, and further research is needed to determine the best implant and treatment approach.
Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning.
J Biomed Inform
December 2024
Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen, China.
Objective: Recognizing glomerular lesions is essential in diagnosing chronic kidney disease. However, deep learning faces challenges due to the lesion heterogeneity, superposition, progression, and tissue incompleteness, leading to uncertainty in model predictions. Therefore, it is crucial to analyze pathology-related predictive uncertainty in glomerular lesion recognition and unveil its relationship with pathological properties and its impact on model performance.
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