Results 131 to 140 of about 256,649 (274)

A fusion model to predict the survival of colorectal cancer based on histopathological image and gene mutation

Scientific Reports
Colorectal cancer (CRC) is a prevalent gastrointestinal tumor worldwide with high morbidity and mortality. Predicting the survival of CRC patients not only enhances understanding of their life expectancies but also aids clinicians in making informed ...
Binsheng He, Lixia Wang, Wenjing Zhou, Haiyan Liu, Yingxuan Wang, Kebo Lv, Kunhui He   +6 more
doaj   +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

A Hierarchically Structured, Stretchable, Anti‐Biofouling Encapsulation for Biodegradable Electronics

Advanced Healthcare Materials, EarlyView.
A soft, stretchable, anti‐biofouling encapsulant is developed by integrating organosilicon nanowire networks with microstructured biodegradable elastomers. The hierarchical surface exhibits superhydrophobicity and enhances water barrier properties by 420% over pristine polymers, while preserving mechanical integrity.
Won Bae Han, Sungkeun Han, Gwan‐Jin Ko, Ulziituya Batjargal, Wonjun Jang, Venkata Ramesh Naganaboina, Han‐Jun Kim, Suk‐Won Hwang   +7 more
wiley   +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

Image processing algorithms for histopathological images

, 2016
75
openaire   +2 more sources

Gentamicin‐Loaded Carbonate Apatite with Dual Antibacterial and Osteogenic Functions for Combating Surgical Site Infections

Advanced Healthcare Materials, EarlyView.
A bone substitute with gentamicin physically precipitated onto the surface of carbonate apatite exhibits prompt drug release, high bactericidal activity, and osteogenic capacity. Efficient antibacterial activity mitigates early postoperative neutrophil accumulation, the status of which may serve as a potential parameter for evaluating the antibacterial
Linghao Xiao, Gabriela Laranjeira Abe, Jun‐Ichi Sasaki, Haruaki Kitagawa, Ririko Tsuboi, Tomoki Kohno, Satoshi Imazato   +6 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

Photosensitizing Lipid Nanoparticles for Ferroptosis‐Enhanced Photodynamic Cancer Therapy via GPX4 Silencing

Advanced Healthcare Materials, EarlyView.
Photosensitizing lipid nanoparticles (PLNPs) are engineered by incorporating cholesterol–PEG–pheophorbide a into MC3‐based LNPs and encapsulating GPX4‐targeting siRNA. Upon light activation, PLNPs generate reactive oxygen species (ROS) while silencing GPX4 to induce ferroptosis.
Ga‐Hyun Bae, Seungyong Shin, Joo Dong Park, Eun‐Young Koh, Seunghyo Ko, Jieun Han, Chun Gown Park, Dong‐Hyun Kim, Kun Na, Wooram Park   +9 more
wiley   +1 more source

Classification of histopathological images for oral cancer in early stages using a deep learning approach

Journal of Intelligent Systems
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

IEEE Access
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, Mostafa Hammouda, Mustafa Elattar, Sahar Selim   +3 more
doaj   +1 more source