Results 71 to 80 of about 60,523 (305)

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source

Evaluating the performance of various segmentation techniques in industrial radiographs

Cybernetics and Information Technologies, 2014
At present, image processing concepts are widely used in different fields, such as remote sensing, communication, medical imaging, forensics and industrial inspection.
Thirugnanam Mythili, Anouncia S. Margret
doaj   +1 more source

Learning Radiologist’s Step-by-Step Skill for Cervical Spinal Injury Examination: Line Drawing, Prevertebral Soft Tissue Thickness Measurement, and Swelling Detection

IEEE Access, 2018
Radiologists examine lateral view radiographs of the cervical spine to determine the presence of cervical spinal injury. In this paper, we demonstrate that an artificial intelligence neural network can learn the steps employed by a radiologist when ...
Young Han Lee, Sewon Kim, Jin-Suck Suh, Dosik Hwang   +3 more
doaj   +1 more source

Implementation of Total Variation algorithm for better interpretation of radiography images of Tavichi family historic hats [PDF]

, 2022
Fateme Pazira, Effat Yahaghi, Amir Movafeghi, Jose Antoni Madrid Garcia   +3 more
openalex   +1 more source

A review of computer aided interpretation technology for the evaluation of radiographs of aluminum welds [PDF]

Industrial radiography is a well established, reliable means of providing nondestructive structural integrity information. The majority of industrial radiographs are interpreted by trained human eyes using transmitted light and various visual aids ...
Lloyd, J. F., Sr.
core   +1 more source

Acetylation Regulates ACSL4 Degradation Through Chaperone‐Mediated Autophagy to Alleviate Intervertebral Disc Degeneration

Advanced Science, EarlyView.
Intervertebral disc degeneration is triggered by ACSL4 accumulation‐mediated ferroptosis of nucleus pulposus cells due to CMA dysfunction. KAT2B promotes ACSL4 degradation via CMA through acetylation. AAV‐mediated LAMP2A delivery or engineered exosomes rescue nucleus pulposus cell senescence and disc degeneration.
Zhouwei Wu, Zhichen Jiang, Chenglong Hong, Shu Yang, Shuqing Jin, Chenyu Wu, Kaijie Guo, Jiang Liu, Shaobo Xu, Chenggui Wang, Xiangyang Wang   +10 more
wiley   +1 more source

Opinions of Zambian Radiographers on Extending their Role in Interpretation and Reporting on General Radiographic Images: A Cross-Sectional Survey

, 2022
Osward Bwanga, Enerst Chanda, Stefan Kafwimbi, James Sichone   +3 more
openalex   +4 more sources

Automated analysis of radar imagery of Venus: handling lack of ground truth [PDF]

, 1994
Lack of verifiable ground truth is a common problem in remote sensing image analysis. For example, consider the synthetic aperture radar (SAR) image data of Venus obtained by the Magellan spacecraft.
Burl, M. C., Fayyad, Usama M., Perona, Pietro, Smyth, Padhraic   +3 more
core   +1 more source

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

Advanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong, Jiaqi Wang, Sijun Huang, Xiaxia Man, Yi Guo, Shuping Xu, Songling Zhang   +6 more
wiley   +1 more source

Single‐Cell Dissection of Tumor‐Infiltrating Lymphocytes Reveals Cellular Architecture Predictive of Therapeutic Efficacy in Acral Melanoma

Advanced Science, EarlyView.
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang, Wanyi Xiao, Hongru Shen, Fenge Li, Ting Li, Weihong Zhang, Haotian Liu, Ziwei Gao, Hongyu Wang, Xiubao Ren, Kexin Chen, Xiangchun Li, Jilong Yang   +12 more
wiley   +1 more source