Estimation of tumor coverage after RF ablation of hepatocellular carcinoma using single 2D image slices [0.03%]
基于单个二维图像切片的射频消融肝癌肿瘤覆盖率评估方法研究
Nicole Varble,Ming Li,Laetitia Saccenti et al.
Nicole Varble et al.
Purpose: To assess the technical success of radiofrequency ablation (RFA) in patients with hepatocellular carcinoma (HCC), an artificial intelligence (AI) model was developed to estimate the tumor coverage without the nee...
Sex estimation with convolutional neural networks using the patella magnetic resonance image slices [0.03%]
使用髌骨磁共振图像切片卷积神经网络进行性别估计
Nevin Cavlak,Gökalp Çınarer,Mustafa Fatih Erkoç et al.
Nevin Cavlak et al.
Conducting sex estimation based on bones through morphometric methods increases the need for automatic image analyses, as doing so requires experienced staff and is a time-consuming process. In this study, sex estimation was performed with ...
Predicting cancer content in tiles of lung squamous cell carcinoma tumours with validation against pathologist labels [0.03%]
基于病理学家标注验证的肺鳞状细胞癌肿瘤图像中的癌症内容预测
Salma Dammak,Matthew J Cecchini,Jennifer Coats et al.
Salma Dammak et al.
Background: A growing body of research is using deep learning to explore the relationship between treatment biomarkers for lung cancer patients and cancer tissue morphology on digitized whole slide images (WSIs) of tumour...
Slicing Network for Wide-Field Fluorescence Image Based on the Improved U-Net Model [0.03%]
基于改进的U-Net模型的宽场荧光图像切片网络
Shiqing Yao,Meiling Guan,Wei Ren et al.
Shiqing Yao et al.
Fluorescence imaging stands as a pivotal component in biomedical research, requiring the elimination of out-of-focus background noise resulting from wide-field volumetric illumination of the whole field-of-view and scattering within thick b...
A New Approach for Super Resolution Object Detection Using an Image Slicing Algorithm and the Segment Anything Model [0.03%]
一种新的超分辨率目标检测方法：基于图像切片算法和Segment Anything模型的方法
Muhammed Telçeken,Devrim Akgun,Sezgin Kacar et al.
Muhammed Telçeken et al.
Object detection in high resolution enables the identification and localization of objects for monitoring critical areas with precision. Although there have been improvements in object detection at high resolution, the variety of object sca...
Validation of digital image slides for diagnosis in cervico-vaginal cytology [0.03%]
宫颈-阴道细胞学诊断的数字图像切片验证
Francisco Tresserra,Gemma Fabra,Olga Luque et al.
Francisco Tresserra et al.
Objective: To test the diagnostic concordance between microscopic (MI) and digital (DG) observation of cervico-vaginal (CV) cytology in a validation study of the technique. ...
Optical Design of a Hyperspectral Remote-Sensing System Based on an Image-Slicer Integral Field Unit in the Short-Wave Infrared Band [0.03%]
基于图像切片器积分场单元的短波红外超光谱遥感光学系统设计
Yi Ding,Chunyu Liu,Guoxiu Zhang et al.
Yi Ding et al.
Grating-type spectral imaging systems are frequently employed in scenes for high-resolution remote-sensing observations of the Earth. However, the entrance of the grating-type spectral imaging system is a slit or a pinhole. This structure r...
COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier [0.03%]
基于切片处理技术和改进的Xception分类器的CT图像新冠肺炎检测方法研究
Kenan Morani,Esra Kaya Ayana,Dimitrios Kollias et al.
Kenan Morani et al.
This paper extends our previous method for COVID-19 diagnosis, proposing an enhanced solution for detecting COVID-19 from computed tomography (CT) images using a lean transfer learning-based model. To decrease model misclassifications, two ...
I3Net: Inter-Intra-slice Interpolation Network for Medical Slice Synthesis [0.03%]
基于医学图像切片合成的交互式插值网络(I3Net)
Haofei Song,Xintian Mao,Jing Yu et al.
Haofei Song et al.
Medical imaging is limited by acquisition time and scanning equipment. CT and MR volumes, reconstructed with thicker slices, are anisotropic with high in-plane resolution and low through-plane resolution. We reveal an intriguing phenomenon ...
Towards texture accurate slice interpolation of medical images using PixelMiner [0.03%]
基于PixelMiner的医学图像切片插值方法研究
W Rogers,S A Keek,M Beuque et al.
W Rogers et al.
Quantitative image analysis models are used for medical imaging tasks such as registration, classification, object detection, and segmentation. For these models to be capable of making accurate predictions, they need valid and precise infor...
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