Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives
H Patel, H Shah, G Patel, A Patel - Artificial Intelligence in Medicine, 2024 - Elsevier
Hematology is the study of diagnosis and treatment options for blood diseases, including
cancer. Cancer is considered one of the deadliest diseases across all age categories …
cancer. Cancer is considered one of the deadliest diseases across all age categories …
Image formation algorithms for low-cost freehand ultrasound scanner based on ego-motion estimation and unsupervised clustering
This paper describes the application of unsupervised learning techniques to improve ego-
motion estimation for a low-cost freehand ultrasound probe. Echo decorrelation …
motion estimation for a low-cost freehand ultrasound probe. Echo decorrelation …
Autonomous fetal morphology scan: deep learning+ clustering merger–the second pair of eyes behind the doctor
S Belciug - BMC Medical Informatics and Decision Making, 2024 - Springer
The main cause of fetal death, of infant morbidity or mortality during childhood years is
attributed to congenital anomalies. They can be detected through a fetal morphology scan …
attributed to congenital anomalies. They can be detected through a fetal morphology scan …
An Advanced Framework for Predictive Maintenance Decisions: Integrating the Proportional Hazards Model and Machine Learning Techniques under CBM Multi …
DR Godoy, C Mavrakis, R Mena, F Kristjanpoller… - Applied Sciences, 2024 - mdpi.com
Under Condition-Based Maintenance, the Proportional Hazards Model (PHM) uses Cox's
partial regression and vital signs as covariates to estimate risk for predictive management …
partial regression and vital signs as covariates to estimate risk for predictive management …
Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an …
S Belciug, RC Ivanescu, MS Serbanescu, F Ispas… - BMJ open, 2024 - bmjopen.bmj.com
Introduction Congenital anomalies are the most encountered cause of fetal death, infant
mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early …
mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early …
Clustering of childhood Diarrhea diseases using gaussian mixture model
Diarrhea remains one of the leading causes of childhood morbidity and mortality worldwide,
especially in developing countries. Diarrhea is a digestive disorder characterized by the …
especially in developing countries. Diarrhea is a digestive disorder characterized by the …
OPTIMALISASI STRATEGI PENGELOMPOKKAN POTENSI PADI SEBAGAI SOLUSI EFEKTIF KELANGKAAN BERAS DI JAWA BARAT
DY Faidah, AM Hudzaifa… - Jurnal Lebesgue …, 2024 - lebesgue.lppmbinabangsa.id
Food security is a crucial issue for Indonesia, especially with the increasing threat of climate
change. Focusing on rice production, this study analyses the mapping of districts/cities in …
change. Focusing on rice production, this study analyses the mapping of districts/cities in …
Διαχείριση μεγάλων δεδομένων από το Twitter και εξόρυξη δεδομένων
Ν Κουλιανός - 2023 - polynoe.lib.uniwa.gr
Η παρούσα διπλωματική εξετάζει την ενσωμάτωση του ισχυρού οικοσυστήματος του Hadoop
με την επεξεργασία δεδομένων από το Twitter σε πραγματικό χρόνο, που στη συνέχεια …
με την επεξεργασία δεδομένων από το Twitter σε πραγματικό χρόνο, που στη συνέχεια …
A Novel Active Learning Technique for Fetal Health Classification Based on Xgboost Classifier
N Goyal, B Mittal, V Sharma - papers.ssrn.com
Ensuring safe pregnancy and reducing maternal and infant mortality rates require
addressing factors that affect fetal health. The application of machine learning algorithms in …
addressing factors that affect fetal health. The application of machine learning algorithms in …