Results 151 to 160 of about 358,784 (300)
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging [PDF]
Computer aided pathological analysis has been the gold standard for tumor diagnosis, however domain shift is a significant problem in histopathology. It may be caused by variability in anatomical structures, tissue preparation, and imaging processes challenges the robustness of segmentation models.
arxiv
To identify the predictors of local recurrence and distant metastasis after radical surgery for stage I–III colorectal cancer. ABSTRACT Background To identify the predictors of local recurrence and distant metastasis after radical surgery for stage I–III colorectal cancer.
Kouki Imaoka+22 more
wiley +1 more source
Fatty pancreas was pathologically assessed and quatificated using tumor and non‐tumor portions of resected specimens in patients with pancreatic cancer. We found that the presence of fatty pancreas evaluated in non‐tumor portions was an independent inferior prognostic indicator for overall survival and recurrence free survival.
Yasunari Fukuda+9 more
wiley +1 more source
Evaluation of the 2015 AGA guidelines on pancreatic cystic neoplasms in a large surgically confirmed multicenter cohort [PDF]
Early, Dayna S+4 more
core +2 more sources
Cystic Lesions of the Pancreas [PDF]
With the increasing use of abdominal imaging, cystic lesions of the pancreas are being more frequently detected. These lesions may carry a significant premalignant potential.
Azzopardi, Neville
core
Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma [PDF]
With the advent of Information technology, the Bioinformatics research field is becoming increasingly attractive to researchers and academicians. The recent development of various Bioinformatics toolkits has facilitated the rapid processing and analysis of vast quantities of biological data for human perception.
arxiv
A comprehensive causal effect analysis was used to illustrate the associations between gut microbiota, aging indicators, and age‐related diseases. This study provides evidence that supports the association between the gut microbiota and aging and highlights the potential of genetic correlation and causal relationship analysis in biomarker discovery ...
Chunrong Lu+7 more
wiley +1 more source
Survival Prediction Across Diverse Cancer Types Using Neural Networks [PDF]
Gastric cancer and Colon adenocarcinoma represent widespread and challenging malignancies with high mortality rates and complex treatment landscapes. In response to the critical need for accurate prognosis in cancer patients, the medical community has embraced the 5-year survival rate as a vital metric for estimating patient outcomes.
arxiv
Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning [PDF]
Digital pathology has made significant advances in tumor diagnosis and segmentation, but image variability due to differences in organs, tissue preparation, and acquisition - known as domain shift - limits the effectiveness of current algorithms. The COSAS (Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation) challenge addresses this issue by ...
arxiv
Protein tyrosine phosphatases as emerging targets for cancer immunotherapy
Abstract Contemporary strategies in cancer immunotherapy, despite remarkable success, remain constrained by inherent limitations such as suboptimal patient responses, the emergence of drug resistance, and the manifestation of pronounced adverse effects. Consequently, the need for alternative strategies for immunotherapy becomes clear.
Zihan Qu, Jiajun Dong, Zhong‐Yin Zhang
wiley +1 more source