Results 151 to 160 of about 202,762 (305)

A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection

IEEE Access
Lung and colon cancers are among the leading causes of cancer-related deaths worldwide. Early detection significantly enhances survival rates, but traditional diagnostic methods, which rely on manual analysis of histopathological images, are labor ...
Chandrasekar Venkatachalam, Priyanka Shah   +1 more
doaj   +1 more source

Nanocellulose Alleviates Intrahepatic Cholestasis of Pregnancy via Gut Microbiota‐Mediated Bile Acid Homeostasis

Advanced Science, EarlyView.
Nanocellulose, derived from microcrystalline cellulose (MCC) through sulfuric acid hydrolysis or mechanical grinding to produce CNC or CNF, was tested in a rat ICP model. Particularly, CNF improved gut microbiota composition, reduced secondary bile acid metabolism, and restored bile acid homeostasis through modulation of the gut–liver axis.
Muhua Yu, Hongjie Dai, Xiaocui Zhong, Qibin Li, Hui Yuan, Yang Yang, Daiyong Huang, Lei Zhang, Rui Ran, Tian He, Yuanzhi Huang, Silas Villas‐Boas, Sergey Tumanov, Richard D. Cannon, Boris Novakovic, Richard Saffery, Yuhao Zhang, Xiaojing Dong, Ting‐Li Han   +18 more
wiley   +1 more source

Cell segmentation in histopathological images with deep learning algorithms by utilizing spatial relationships

, 2017
In many computerized methods for cell detection, segmentation, and classification in digital histopathology that have recently emerged, the task of cell segmentation remains a chief problem for image processing in designing computer-aided diagnosis (CAD)
Nuh Hatipoglu, Hatipoglu, Nuh, Bilgin, Gökhan, Gokhan Bilgin   +3 more
core   +1 more source

An artificial intelligence model for early-stage breast cancer classification from histopathological biopsy images

Frontiers in Artificial Intelligence
Accurate identification of breast cancer subtypes is essential for guiding treatment decisions and improving patient outcomes. In current clinical practice, determining histological subtypes often requires additional invasive procedures, delaying ...
Neil Chaudhary, A. Z. Dhunny
doaj   +1 more source

Decoding IGLL5 Mutation‐Mediated BCR Signaling: A Novel Mechanism of CD8+ T Cell Exhaustion and Ocular MALT Lymphoma Progression

Advanced Science, EarlyView.
OAML harbors recurrent IGLL5 mutations that reinforce CD79A/CD79B‐associated BCR signaling. Mechanistic analysis of the S47G and A54G variants reveals induction of CXCL10/CXCL11, enhanced CD8+ T‐cell recruitment, and exhaustion‐associated dysfunction, supporting an immune‐tolerant niche.
Andi Zhao, Haoyu Wei, Chenyu Zhou, Xinping Sun, Shuyan Da, Haiyu Liu, Zijin Wang, Hui Zhu, Shiya Shen, Qing Shao, Qi Gong, Hu Liu, Xuejuan Chen   +12 more
wiley   +1 more source

Automatic segmentation of histopathological glioblastoma whole-slide images utilizing MONAI [PDF]

Manual segmentation of histopathological images is both resource-intensive and prone to human error, particularly when dealing with challenging tumor types like Glioblastoma (GBM), an aggressive and highly heterogeneous brain tumor.
Herbort, Volker, Dinser, Moritz, Spiess, Ellena, Liesche-Starnecker, Friederike, Schobel, Johannes, Müller, Dominik, Hieber, Daniel   +6 more
core   +1 more source

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

IEEE Access
Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment plans.
Helala M. Alshehri
doaj   +1 more source

Biomimetic Ru‐Mn Nanozyme with Cascade Catalytic Activity Attenuates Secondary Brain Injury in Intracerebral Hemorrhage

Advanced Science, EarlyView.
Ru–Mn composite nanozymes are engineered to mimic dual‐enzyme cascade catalysis, enabling efficient ROS clearance and neuroinflammation suppression. In collagenase‐ and autologous blood‐induced ICH mouse models, intranasal and intravenous administration reduced hematoma volume, preserved BBB integrity, and improved neurological recovery.
Zhongxin Duan, Peng Li, Yue Wang, Xin Qi, Wanyu Wang, Yongzhong Cheng, Huabin Zhang, Xin Hu, Xiang Gao   +8 more
wiley   +1 more source

Transfer Learning Fusion Approaches for Colorectal Cancer Histopathological Image Analysis

Journal of Imaging
It is well-known that accurate classification of histopathological images is essential for effective diagnosis of colorectal cancer. Our study presents three attention-based decision fusion models that combine pre-trained CNNs (Inception V3, Xception ...
Houda Saif ALGhafri, Chia S. Lim
doaj   +1 more source

Tumor‐Derived LAMB3 Drives Immunosuppressive LRRC15+ Fibroblast Formation During Pancreatic Ductal Adenocarcinoma Development

Advanced Science, EarlyView.
A single‐cell atlas of pancreatic ductal adenocarcinoma development reveals progressive ductal‐fibroblast‐immune crosstalk. Tumor‐derived LAMB3 drives the formation of immunosuppressive LRRC15+ fibroblasts through the ITGB1/FAK/MAPK/FOSL2 signaling. Glycolytic reprogramming upregulates LAMB3 and correlates with LRRC15+ fibroblast enrichment.
Xuqing Shi, Hangqi Liu, Jianru Sun, Xiaoding Liu, Xinping Jv, Longyun Chen, Yuhan Zhang, Hui Zhang, Xudong Xing, Ruiyu Li, Xinyi Ke, Jun Wang, Xianglin Yin, Bohan Liu, Qixian Liu, Yuan Wang, Junliang Lu, Shiyi Liu, Junyi Pang, Yumeng Cai, Menghua Dai, Fan Bai, Huanwen Wu, Zhiyong Liang   +23 more
wiley   +1 more source