From Detection to Motion-Based Classification: A Two-Stage Approach for T. cruzi Identification in Video Sequences [0.03%]
基于检测到运动的分类：视频序列中T.cruzi识别的两阶段方法
Kenza Chenni,Carlos Brito-Loeza,Cefa Karabağ et al.
Kenza Chenni et al.
Chagas disease, caused by Trypanosoma cruzi (T. cruzi), remains a significant public health challenge in Latin America. Traditional diagnostic methods relying on manual microscopy suffer from low sensitivity, subjective interpretation, and ...
Beibit Abdikenov,Dimash Rakishev,Yerzhan Orazayev et al.
Beibit Abdikenov et al.
Early detection of breast cancer via mammography enhances patient survival rates, prompting this study to assess object detection models-Cascade R-CNN, YOLOv12 (S, L, and X variants), RTMDet-X, and RT-DETR-X-for detecting masses and calcifi...
Maternal Factors, Breast Anatomy, and Milk Production During Established Lactation-An Ultrasound Investigation [0.03%]
母体因素、乳房解剖与成熟期泌乳量——一项超声波调查研究
Zoya Gridneva,Alethea Rea,David Weight et al.
Zoya Gridneva et al.
Obesity is linked to suboptimal breastfeeding outcomes, yet the relationships between maternal adiposity, breast anatomy, and milk production (MP) have not been investigated. We conducted ultrasound imaging to assess the breast anatomy of 3...
EFIMD-Net: Enhanced Feature Interaction and Multi-Domain Fusion Deep Forgery Detection Network [0.03%]
改进的特征交互和多域融合深度伪造检测网络
Hao Cheng,Weiye Pang,Kun Li et al.
Hao Cheng et al.
Currently, deepfake detection has garnered widespread attention as a key defense mechanism against the misuse of deepfake technology. However, existing deepfake detection networks still face challenges such as insufficient robustness, limit...
Cascaded Spatial and Depth Attention UNet for Hippocampus Segmentation [0.03%]
用于海马分割的级联空间和深度注意力UNet
Zi-Zheng Wei,Bich-Thuy Vu,Maisam Abbas et al.
Zi-Zheng Wei et al.
This study introduces a novel enhancement to the UNet architecture, termed Cascaded Spatial and Depth Attention U-Net (CSDA-UNet), tailored specifically for precise hippocampus segmentation in T1-weighted brain MRI scans. The proposed archi...
Evaluation of AI Performance in Spinal Radiographic Measurements Compared to Radiologists: A Study of Accuracy and Efficiency [0.03%]
人工智能与放射科医生脊柱影像测量表现的比较研究：准确性及效率分析
Francesco Pucciarelli,Guido Gentiloni Silveri,Marta Zerunian et al.
Francesco Pucciarelli et al.
This study aimed to evaluate the reliability of an AI-based software tool in measuring spinal parameters-Cobb angle, thoracic kyphosis, lumbar lordosis, and pelvic obliquity-compared to manual measurements by radiologists and to assess pote...
A Hybrid Framework for Red Blood Cell Labeling Using Elliptical Fitting, Autoencoding, and Data Augmentation [0.03%]
基于椭圆拟合、自编码和数据增强的红细胞标注混合框架
Bundasak Angmanee,Surasak Wanram,Amorn Thedsakhulwong
Bundasak Angmanee
This study aimed to develop a local dataset of abnormal RBC morphology from confirmed cases of anemia and thalassemia in Thailand, providing a foundation for medical image analysis and future AI-assisted diagnostics. Blood smear samples fro...
Unsupervised Optical Mark Recognition on Answer Sheets for Massive Printed Multiple-Choice Tests [0.03%]
大规模印刷的多项选择测试中答题卡的无监督光学识别技术研究
Yahir Hernández-Mier,Marco Aurelio Nuño-Maganda,Said Polanco-Martagón et al.
Yahir Hernández-Mier et al.
The large-scale evaluation of multiple-choice tests is a challenging task from the perspective of image processing. A typical instrument is a multiple-choice question test that employs an answer sheet with circles or squares. Once students ...
Minjuan Gao,Chenye Song,Qiaorong Zhang et al.
Minjuan Gao et al.
Image quality assessment (IQA) aims to measure the consistency between an objective algorithm output and a subjective perception measurement. This article focuses on this complex relationship in the context of color image scenarios-color im...
Zhigao Zeng,Jiakai Liu,Xianming Huang et al.
Zhigao Zeng et al.
Retinal vessel segmentation is critical for early diagnosis of diabetic retinopathy, yet existing deep models often compromise accuracy for complexity. We propose DSAE-Net, a lightweight dual-stage network that addresses this challenge by (...