Recent advances in machine learning applied to ultrasound imaging

M Micucci, A Iula - Electronics, 2022 - mdpi.com
Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …

[HTML][HTML] Value of ultrasound imaging-omics features in the diagnosis of primary nephrotic syndrome

Z Meihua, Z Ming, Z Liqing, Z Hanlin, F Bo… - Journal of Radiation …, 2023 - Elsevier
Background Primary nephrotic syndrome (PNS) is a common autoimmune systemic
suppressive disease that, if left untreated, can develop into end-stage renal disease in …

[PDF][PDF] Medical Big Data Analysis using LSTM based Co-Learning Model with Whale Optimization Approach.

SUM Rao, KV Rao, P Reddy - … Journal of Intelligent Engineering & Systems, 2022 - inass.org
The medical and health service has become advanced and the smart health care platform
has made the diagnosis more robust for the treatment. The accurate analysis of medical data …

[PDF][PDF] Medical Big Data Analysis using Binary Moth-Flame with Whale Optimization Approach

SUM Rao, KV Rao, PR PVGD - International Journal of Advanced …, 2022 - researchgate.net
The accurate analysis of medical data is dependent on early disease detection and the
value of accuracy is reduced when the medical data quality is poor. However, existing …

URI-CADS: A Fully Automated Computer-Aided Diagnosis System for Ultrasound Renal Imaging

M Molina-Moreno, I González-Díaz… - Journal of Imaging …, 2024 - Springer
Ultrasound is a widespread imaging modality, with special application in medical fields such
as nephrology. However, automated approaches for ultrasound renal interpretation still pose …

Chronic Kidney Disease Prediction using Hybrid Optimization Search Model (HOSM)

SM Imran, N Prakash, AA Rahman - Nanotechnology Perceptions, 2024 - nano-ntp.com
Kidney is an important organ of the human body helps to keep balancing the functionality of
all other organs. Chronic kidney diseases (CKD) create many impacts in recent days due to …

Sviluppo di un sistema ibrido basato su Machine Learning e Deep Learning per la classificazione di lesioni tumorali in immagini di mammografia sintetica …

F Pastore - 2022 - webthesis.biblio.polito.it
Il carcinoma della mammella è il tumore più frequentemente diagnosticato nelle donne per
tutte le fasce d'età e causa il 17% di tutti i decessi oncologici nel sesso femminile. Negli …