Results 111 to 120 of about 259,250 (296)
Focused active learning for histopathological image classification
Medical Image AnalysisActive Learning (AL) has the potential to solve a major problem of digital pathology: the efficient acquisition of labeled data for machine learning algorithms. However, existing AL methods often struggle in realistic settings with artifacts, ambiguities, and class imbalances, as commonly seen in the medical field.
Schmidt, Arne +6 more
openaire +4 more sources
[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich +19 more
wiley +1 more source
Fine-Tuning Models for Histopathological Classification of Colorectal Cancer
DiagnosticsBackground/Objectives: This study aims to design and evaluate transfer learning strategies that fine-tune multiple pre-trained convolutional neural network architectures based on their characteristics to improve the accuracy and generalizability of ...
Houda Saif ALGhafri, Chia S. Lim
doaj +1 more source
Advanced Functional Materials, EarlyView.A spleen‐targeting hybrid nanoplatform (RBCMV‐LNP‐RP) harnessing erythrophagocytosis mimics senescent red blood cell clearance to achieve spleen‐specific delivery of rapamycin. This biomimetic system enables selective accumulation in splenic macrophages, orchestrating systemic immune reprogramming and promoting mucosal healing in an inflammatory bowel ...
Jun Kwon +10 more
wiley +1 more source
A Transparent Search-Based Framework for Skin and Breast Cancer Diagnosis Using Siamese Networks
IEEE AccessComputer aid diagnosis has developed digital pathology with Deep Learning (DL)-based tools to assist pathologists in decision-making. Content-Based Histopathological Image Retrieval (CBHIR) is a novel tool to seek highly correlated patches in terms of ...
Zahra Tabatabaei +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu +14 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Metabolic changes in immune cells direct the phenotype and function of the host immune system. Smart nanomaterials must target metabolic pathways to direct immune cell fate. This study reports the fabrication and first application of germanane quantum dots (GeHQDs) to modulate inflammation in vitro and in vivo.
Abhay Srivastava +7 more
wiley +1 more source
BiosensorsBreast 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 +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source