Results 101 to 110 of about 2,410 (213)

MFF-ClassificationNet: CNN-Transformer Hybrid with Multi-Feature Fusion for Breast Cancer Histopathology Classification

Biosensors
Breast cancer is one of the most prevalent malignant tumors among women worldwide, underscoring the urgent need for early and accurate diagnosis to reduce mortality.
Xiaoli Wang, Guowei Wang, Luhan Li, Hua Zou, Junpeng Cui   +4 more
doaj   +1 more source

Sodium Alginate‐Based Submucosal Lifting Hydrogel for Endoscopic Mucosal Resection and Endoscopic Submucosal Dissection

Advanced Healthcare Materials, EarlyView.
A biocompatible sodium alginate‐based hydrogel is developed as a next‐generation submucosal lifting agent intended for EMR and ESD. The optimized formulation exhibits a composition devoid of endotoxins, high viscosity, demonstrates reliable injectability, and ensures prolonged mucosal elevation.
Iram Maqsood, Venkata S. Akshintala, Surya T. Evani, Rebecca A. Krimins, Yihan Wang, Keith Freel, Ahmed Ibrahim, Saowanee Ngamruengphong, Mouen Khashab, Stephen W. Hoag   +9 more
wiley   +1 more source

Attention-aided hybrid transformer network for oral squamous cell carcinoma classification using histopathology images

Frontiers in Artificial Intelligence
IntroductionIn recent years, oral cancer has become one of the most common malignant tumors. Early diagnosis of oral cancer from histopathological images will certainly reduce the severity of the disease and bring down the death rate.
Meena Jagathesh, Sathiya Narayanan
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Lonicera japonica‐Derived Nanovesicles Ameliorate Acute Lung Injury by Suppressing Neutrophil Extracellular Traps Formation in Mice

Advanced Healthcare Materials, EarlyView.
(A) Isolation and purification of LDNVs. (B) Establishment of the ALI model and LDNVs delivery. (C) Therapeutic mechanisms of LDNVs in treating ALI. This scheme figure was drawn by Figdraw, ID: IUIIO21222. ABSTRACT Acute lung injury (ALI) is a lethal respiratory disease.
Xi Lin, Jian Lin, Yezi Zhang, Xinyan Zhang, Xinghua Liu, Hongying Cao, Huan Shen, Jianming Liang, Zhenhua Dai, Siyuan Xu, Xingdong Lin   +10 more
wiley   +1 more source

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

Wearable OLED‐Assisted Photodynamic Cancer Therapy Using Chlorin e6‐Loaded Pluronic Nanocapsules as Photosensitizers

Advanced Healthcare Materials, EarlyView.
A novel photodynamic therapeutic approach has been employed for anticancer therapy, utilizing chlorin e6‐loaded Pluronic nanocapsules and a wearable organic light‐emitting diode light source. This has shown significant in vivo antitumor efficacy with minimal off‐target toxicity. The innovative combination of a wearable light source and photosensitizers
Hyeryeon Oh, Seung Min Jeong, Cheol Hui Park, Panmo Son, Yeseo Lee, Heebeom Koo, Won Il Choi, Kyung Cheol Choi   +7 more
wiley   +1 more source

TRI-BCC: Tri-Level Breast Cancer Classification via Transfer Learning Networks with Histopathological Images

Measurement Science Review
Breast cancer (BC) is the second most common hereditary cancer in women and is most likely to affect women. The high cost of treating BC has made its prevention an important health issue.
Rajalingam Sridevi, Maruthai Kavitha
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

Histopathology Images

Journal of Islamabad Medical & Dental College, 2021
openaire   +2 more sources