Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Segkan: High-resolution medical image segmentation with long-distance dependencies
S Tan, R Xue, S Luo, Z Zhang, X Wang, L Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Hepatic vessels in computed tomography scans often suffer from image fragmentation and
noise interference, making it difficult to maintain vessel integrity and posing significant …
noise interference, making it difficult to maintain vessel integrity and posing significant …
Projectedex: Enhancing generation in explainable ai for prostate cancer
X Qi, Z Zhang, AB Handoko, H Zheng, M Chen… - arxiv preprint arxiv …, 2025 - arxiv.org
Prostate cancer, a growing global health concern, necessitates precise diagnostic tools, with
Magnetic Resonance Imaging (MRI) offering high-resolution soft tissue imaging that …
Magnetic Resonance Imaging (MRI) offering high-resolution soft tissue imaging that …
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction
X Qi, Z Zhang, H Zheng, M Chen, N Kutaiba… - arxiv preprint arxiv …, 2025 - arxiv.org
Bone density prediction via CT scans to estimate T-scores is crucial, providing a more
precise assessment of bone health compared to traditional methods like X-ray bone density …
precise assessment of bone health compared to traditional methods like X-ray bone density …
PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian Detection
R Zhao, Z Zhang, Y Xu, Y Yao, Y Huang… - arxiv preprint arxiv …, 2025 - arxiv.org
Pedestrian detection in intelligent transportation systems has made significant progress but
faces two critical challenges:(1) insufficient fusion of complementary information between …
faces two critical challenges:(1) insufficient fusion of complementary information between …
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation
C Gang - arxiv preprint arxiv:2502.05396, 2025 - arxiv.org
Segmentation of 3D medical images is a critical task for accurate diagnosis and treatment
planning. Convolutional neural networks (CNNs) have dominated the field, achieving …
planning. Convolutional neural networks (CNNs) have dominated the field, achieving …
[PDF][PDF] Advanced Deep Learning Techniques for Lung Tumor Classification
R Johnson, E Chen, A Kim, S Lee, J Taylor, M Brown - researchgate.net
Lung cancer remains a significant health challenge, necessitating advancements in
diagnostic methodologies. In this context, we propose a novel approach for lung tumor …
diagnostic methodologies. In this context, we propose a novel approach for lung tumor …
[PDF][PDF] A Novel Deep Learning Approach for Lung Tumor Classification Using Convolutional Neural Networks
S Lopez, L Smith, E Wilson, A Brown, N Davis, O Miller - researchgate.net
Lung cancer remains one of the leading causes of cancer-related deaths, making accurate
diagnosis essential for effective treatment. We introduce a novel deep learning method …
diagnosis essential for effective treatment. We introduce a novel deep learning method …