[HTML][HTML] Tumor vasculature vs tumor cell targeting: Understanding the latest trends in using functional nanoparticles for cancer treatment
Delivering drugs to tumors using nanoparticles (NPs) has shown promising potential in
promoting targeted drug delivery of antineoplastic agents to enhance their efficiency while …
promoting targeted drug delivery of antineoplastic agents to enhance their efficiency while …
An efficient content-based medical image retrieval based on a new Canny steerable texture filter and Brownian motion weighted deep learning neural network
RV Rao, TJC Prasad - The Visual Computer, 2023 - Springer
The increasing size of medical image repositories is due to the increasing number of digital
imaging data sources. Most of the image content descriptors proposed in the literature are …
imaging data sources. Most of the image content descriptors proposed in the literature are …
A Content-Based Approach to Medical Image Retrieval
Medical images stored in distributed and centralized servers are referred to for knowledge,
teaching, information, and diagnosis. Content-based image retrieval (CBIR) is used to locate …
teaching, information, and diagnosis. Content-based image retrieval (CBIR) is used to locate …
Low dimensional multi-block neighborhood combination pattern for biomedical image retrieval
Content based image retrieval (CBIR) has been a thrust area of research to retrieve relevant
images quickly from a huge image database. In this pursuit, a low dimensional multi-block …
images quickly from a huge image database. In this pursuit, a low dimensional multi-block …
MEDI-NET: CLOUD-BASED FRAMEWORK FOR MEDICAL DATA RETRIEVAL SYSTEM USING DEEP LEARNING
S PALANISAMY, T RAMASAMY - REVUE ROUMAINE DES …, 2024 - journal.iem.pub.ro
Medical data retrieval is becoming increasingly crucial, aiding physicians and domain
experts in more effectively accessing knowledge and information related to medicine and …
experts in more effectively accessing knowledge and information related to medicine and …