Automatic Algorithm-Aided Segmentation of Retinal Nerve Fibers Using Fundus Photographs [0.03%]
基于眼底照片的视网膜神经纤维自动分割算法
Diego Luján Villarreal
Diego Luján Villarreal
This work presents an image processing algorithm for the segmentation of the personalized mapping of retinal nerve fiber layer (RNFL) bundle trajectories in the human retina. To segment RNFL bundles, preprocessing steps were used for noise ...
Colorectal Polyp Segmentation Based on Deep Learning Methods: A Systematic Review [0.03%]
基于深度学习方法的结直肠息肉分割：系统性综述
Xin Liu,Nor Ashidi Mat Isa,Chao Chen et al.
Xin Liu et al.
Colorectal cancer is one of the three most common cancers worldwide. Early detection and assessment of polyps can significantly reduce the risk of developing colorectal cancer. Physicians can obtain information about polyp regions through p...
E-CMCA and LSTM-Enhanced Framework for Cross-Modal MRI-TRUS Registration in Prostate Cancer [0.03%]
前列腺癌MRI-TRUS配准的E-CMCA和LSTM增强框架
Ciliang Shao,Ruijin Xue,Lixu Gu
Ciliang Shao
Accurate registration of MRI and TRUS images is crucial for effective prostate cancer diagnosis and biopsy guidance, yet modality differences and non-rigid deformations pose significant challenges, especially in dynamic imaging. This study ...
Dual-Filter X-Ray Image Enhancement Using Cream and Bosso Algorithms: Contrast and Entropy Optimization Across Anatomical Regions [0.03%]
基于Cream和Bosso算法的双滤过X射线图像增强：对比度与熵的解剖区域优化
Antonio Rienzo,Miguel Bustamante,Ricardo Staub et al.
Antonio Rienzo et al.
This study introduces a dual-filter X-ray image enhancement technique designed to elevate the quality of radiographic images of the knee, breast, and wrist, employing the Cream and Bosso algorithms. Our quantitative analysis reveals signifi...
Contrastive Learning-Driven Image Dehazing with Multi-Scale Feature Fusion and Hybrid Attention Mechanism [0.03%]
基于多尺度特征融合和混合注意力机制的对比学习去雾方法
Huazhong Zhang,Jiaozhuo Wang,Xiaoguang Tu et al.
Huazhong Zhang et al.
Image dehazing is critical for visual enhancement and a wide range of computer vision applications. Despite significant advancements, challenges remain in preserving fine details and adapting to diverse, non-uniformly degraded scenes. To ad...
Xingxing Zou,Wen Zhang,Nanxuan Zhao
Xingxing Zou
This survey offers a comprehensive overview of advancements in Artificial Intelligence in Graphic Design (AIGD), with a focus on the integration of AI techniques to enhance design interpretation and creative processes. The field is categori...
Directional Lighting-Based Deep Learning Models for Crack and Spalling Classification [0.03%]
基于定向照明的深度学习裂缝和剥落分类模型
Sanjeetha Pennada,Jack McAlorum,Marcus Perry et al.
Sanjeetha Pennada et al.
External lighting is essential for autonomous inspections of concrete structures in low-light environments. However, previous studies have primarily relied on uniformly diffused lighting to illuminate images and faced challenges in detectin...
Solar Panel Surface Defect and Dust Detection: Deep Learning Approach [0.03%]
基于深度学习的太阳能电池板表面缺陷和灰尘检测方法
Atta Rahman
Atta Rahman
In recent years, solar energy has emerged as a pillar of sustainable development. However, maintaining panel efficiency under extreme environmental conditions remains a persistent hurdle. This study introduces an automated defect detection ...
Part-Wise Graph Fourier Learning for Skeleton-Based Continuous Sign Language Recognition [0.03%]
基于骨架的连续手语识别的分段图傅里叶学习方法
Dong Wei,Hongxiang Hu,Gang-Feng Ma
Dong Wei
Sign language is a visual language articulated through body movements. Existing approaches predominantly leverage RGB inputs, incurring substantial computational overhead and remaining susceptible to interference from foreground and backgro...
Multi-Class Classification of Breast Cancer Subtypes Using ResNet Architectures on Histopathological Images [0.03%]
基于病理图像的乳腺癌亚型多分类研究（使用残差网络）
Akshat Desai,Rakeshkumar Mahto
Akshat Desai
Breast cancer is a significant cause of cancer-related mortality among women around the globe, underscoring the need for early and accurate diagnosis. Typically, histopathological analysis of biopsy slides is utilized for tumor classificati...