Results 131 to 140 of about 259,250 (296)
Transfer Learning Fusion Approaches for Colorectal Cancer Histopathological Image Analysis
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
A flexible hybrid patch integrating a robust cold atmospheric plasma (CAP) system with a high‐power, ultrathin bio‐OLED was developed to enable synergistic wound healing. This multimodal therapy, combining plasma and photodynamic treatment, enhanced angiogenesis, cell proliferation, and collagen deposition, demonstrating superior in vivo efficacy and ...
Jun‐Yeop Song +11 more
wiley +1 more source
Problem – Diagnosing early-stage oral squamous cell carcinoma (OSCC) is necessary for patient treatment and survival. The staining normalization and augmentation of histopathological images can play an important role in improving the accuracy of early ...
Alsaedi Raneem Y., Alsharif Hussam J.
doaj +1 more source
Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method
Digital pathology, integral to cancer diagnosis, heavily utilizes the analysis of whole slide images (WSIs) to detect cancer cells. Traditionally, WSIs are manually examined—a process that is not only time-consuming but also subject to observer ...
Hesham Ali +3 more
doaj +1 more source
A hydrogel with dynamic cross‐links was formed by cross‐linking hyaluronic acid with curcumin‐preloaded, phenylboronic acid‐modified poly(amidoamine) dendrimers. This hydrogel exhibited excellent injectability and self‐healing ability, enabling controlled Cur release in response to low pH, high reactive oxygen species (ROS) generation, or mechanical ...
Junjie Liu +9 more
wiley +1 more source
Machine Learning Models for the Classification of Histopathological Images of Colorectal Cancer
The aim of this study was to explore the application of computational models for the analysis of histopathological images in the context of colon cancer.
Nektarios Georgiou +2 more
doaj +1 more source
Coronary microvascular dysfunction (CMD) targeting remains a challenge for precise diagnosis. This work presents a dual‐modal nanoprobe (T‐IR780‐NBs) that combines ultrasound contrast with near‐infrared fluorescence. This technology utilizes proteomics‐derived antibodies that specifically localize to inflamed and injured cardiac tissue, enabling ...
Xiaohui Xu +6 more
wiley +1 more source
Content-Based Histopathological Image Retrieval (CBHIR) is a search technique based on the visual content and histopathological features of whole-slide images (WSIs).
Zahra Tabatabaei +5 more
doaj +1 more source
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales +11 more
wiley +1 more source

