Results 171 to 180 of about 1,074,043 (334)

Displacement field estimation and image segmentation using block matching enhanced by a neural network [PDF]

, 1996
Yong‐Sheng Chen, Chiou‐Shann Fuh
openalex   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

Molecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

A multinational study of deep learning-based image enhancement for multiparametric glioma MRI. [PDF]

Sci Rep
Park YW, Yoo RE, Shin I, Jeon YH, Singh KP, Lee MD, Kim S, Yang K, Jeong G, Ryu L, Han K, Ahn SS, Lee SK, Jain R, Choi SH.   +14 more
europepmc   +1 more source

Experimental Study on the Rim-Enhancing Lesion of Rabbit Brain Abscess: MR Imaging and Histopathologic Correlation [PDF]

, 1996
Hee Jung Lee, Soo Jhi Suh, Sang Pyo Kim, Yang Goo Joo, Seok Kil Zeon, Seong Ku Woo   +5 more
openalex   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

Molecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik, Shi Pan, Eloise Withnell, Hou Wang Lam, Maria Secrier   +4 more
wiley   +1 more source

Light adaptive image enhancement for improving visual analysis in intercropping cultivation. [PDF]

Front Plant Sci
Zhong W, Yang W, Wang Y, Dong X, Wang X, Jia W, Ou M, Yan M.   +7 more
europepmc   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

MedIENet: medical image enhancement network based on conditional latent diffusion model. [PDF]

BMC Med Imaging
Yuan W, Feng Y, Wen T, Luo G, Liang J, Sun Q, Liang S.   +6 more
europepmc   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Dual decoding generative adversarial networks for infrared image enhancement. [PDF]

Sci Rep
Yu Y, Jiang L, Hu Q, Cai Q, Zeng Q, Sun X.   +5 more
europepmc   +1 more source