Results 181 to 190 of about 230,040 (300)
Information fusion in content based image retrieval: A comprehensive overview
Luca Piras, G. Giacinto
semanticscholar +1 more source
Smart Catheters for Diagnosis, Monitoring, and Therapy
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman +12 more
wiley +1 more source
Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions. [PDF]
Gundreddy RR +5 more
europepmc +1 more source
Simvastatin mitigates placental hypoperfusion in OAPS by ameliorating abnormal uteromaternal hemodynamics and enhancing trophoblast invasion via optimized endothelial cell interactions under pathological shear stress, as evidenced by results from a placenta‐on‐a‐chip platform.
Hongli Liu +10 more
wiley +1 more source
Hybrid Nanofibers for Multimodal Accelerated Wound Healing
Fabrication of wound healing scaffolds based on biocompatible nanofibers. Nanofibers offering high surface area, flexibility, and biocompatibility significantly improved the healing outcome in vivo. Histological, immunological, and anti‐inflammatory markers are noticeably better in treated wounds.
Viraj P. Nirwan +15 more
wiley +1 more source
Prototypes for content-based image retrieval in clinical practice. [PDF]
Depeursinge A +3 more
europepmc +1 more source
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He +10 more
wiley +1 more source
Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images. [PDF]
Sparks R, Madabhushi A.
europepmc +1 more source
Efficient Content Based Image Retrieval
Content based image retrieval from large resources has become an area of wide interest nowadays in many applications. In this thesis we present a region-based image retrieval system that uses color and texture as visual features to describe the content of an image region. Our contribution is of three directions.
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