Polymer-based delivery systems with metal complexes as contrast agents for medical imaging
Medical contrast agents are indispensable for bioimaging in deep tissues, which
significantly facilitate accurate clinical diagnoses. The forefront of current research focuses …
significantly facilitate accurate clinical diagnoses. The forefront of current research focuses …
Metal-organic frameworks: Biosensor applications for diagnosis of cancers
M Hosseine, SM Naghib, N Rabiee - Microchemical Journal, 2024 - Elsevier
For early cancer diagnosis and therapy, sensitive and selective cancer biomarker detection
is crucial. One of the most powerful technologies for cancer early detection in development …
is crucial. One of the most powerful technologies for cancer early detection in development …
[PDF][PDF] Automatic Medical Report Generation: Methods and Applications
The increasing demand for medical imaging has surpassed the capacity of available
radiologists, leading to diagnostic delays and potential misdiagnoses. Artificial intelligence …
radiologists, leading to diagnostic delays and potential misdiagnoses. Artificial intelligence …
TPat: Transition pattern feature extraction based Parkinson's disorder detection using FNIRS signals
Abstract Background and Objective Parkinson's Disease (PD) is one of the most commonly
observed neurodegenerative disorders worldwide. Many researchers have utilized machine …
observed neurodegenerative disorders worldwide. Many researchers have utilized machine …
Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets
Curating, processing, and combining large-scale medical imaging datasets from national
studies is a non-trivial task due to the intense computation and data throughput required …
studies is a non-trivial task due to the intense computation and data throughput required …
[HTML][HTML] An Efficient Prediction Model on the Operation Quality of Medical Equipment Based on Improved Sparrow Search Algorithm-Temporal Convolutional Network …
Z Lin, Z Ji - Sensors, 2024 - mdpi.com
Combining medical IoT and artificial intelligence technology is an effective approach to
achieve the intelligence of medical equipment. This integration can address issues such as …
achieve the intelligence of medical equipment. This integration can address issues such as …
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
Prostate cancer represents a major threat to health. Early detection is vital in reducing the
mortality rate among prostate cancer patients. One approach involves using multi-modality …
mortality rate among prostate cancer patients. One approach involves using multi-modality …
Data-driven classification and explainable-AI in the field of lung imaging
Detecting lung diseases in medical images can be quite challenging for radiologists. In
some cases, even experienced experts may struggle with accurately diagnosing chest …
some cases, even experienced experts may struggle with accurately diagnosing chest …
Brain tumour detection using machine and deep learning: a systematic review
N Rasool, JI Bhat - Multimedia Tools and Applications, 2024 - Springer
Brain tumors rank as the 1oth leading cause of mortality worldwide, accounting for 85% to
95% of all primary nervous system malignancies. The prevalence of this life-threatening …
95% of all primary nervous system malignancies. The prevalence of this life-threatening …
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection
Breast cancer begins in the breast tissues and can progressively spread to other parts of the
body. Early detection is crucial, as it allows for timely treatment, potentially saving lives …
body. Early detection is crucial, as it allows for timely treatment, potentially saving lives …