Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis
M Yousefi, SF Maleki, A Jafarizadeh… - ar** smart diagnostic systems to help medical experts
process extensive data for treating incurable diseases has been notable. In particular, the …
process extensive data for treating incurable diseases has been notable. In particular, the …
CWBCM method to determine the importance of classification performance evaluation criteria in machine learning: Case studies of COVID-19, Diabetes, and Thyroid …
Problems with multiple conflicting criteria are usually modeled by the methods proposed in
the field of Multi-Criteria Decision Making (MCDM). In MCDM, one of the most important …
the field of Multi-Criteria Decision Making (MCDM). In MCDM, one of the most important …
Ensemble learning based sustainable approach to carbonate reservoirs permeability prediction
Permeability is a crucial property that can be used to indicate whether a material can hold
fluids or not. Predicting the permeability of carbonate reservoirs is always a challenging and …
fluids or not. Predicting the permeability of carbonate reservoirs is always a challenging and …
A novel machine-learning framework based on a hierarchy of dispute models for the identification of fish species using multi-mode spectroscopy
Seafood mislabeling rates of approximately 20% have been reported globally. Traditional
methods for fish species identification, such as DNA analysis and polymerase chain reaction …
methods for fish species identification, such as DNA analysis and polymerase chain reaction …
[HTML][HTML] Explainable Thyroid Cancer Diagnosis Through Two-Level Machine Learning Optimization with an Improved Naked Mole-Rat Algorithm
W Książek - Cancers, 2024 - mdpi.com
Modern technologies, particularly artificial intelligence methods such as machine learning,
hold immense potential for supporting doctors with cancer diagnostics. This study explores …
hold immense potential for supporting doctors with cancer diagnostics. This study explores …
DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation
Genes, expressed as sequences of nucleotides, are susceptible to mutations, some of which
can lead to cancer. Machine learning and deep learning methods have emerged as vital …
can lead to cancer. Machine learning and deep learning methods have emerged as vital …
[HTML][HTML] Advancing multiple sclerosis diagnosis through an innovative hybrid AI framework incorporating Multi-view ResNet and quantum RIME-inspired …
The rising global incidence of Multiple Sclerosis (MS), an autoimmune disorder that impacts
the central nervous system, demands novel diagnostic approaches for early detection and …
the central nervous system, demands novel diagnostic approaches for early detection and …
Comparative performance analysis of binary variants of FOX optimization algorithm with half-quadratic ensemble ranking method for thyroid cancer detection
Thyroid cancer is a life-threatening condition that arises from the cells of the thyroid gland
located in the neck's frontal region just below the adam's apple. While it is not as prevalent …
located in the neck's frontal region just below the adam's apple. While it is not as prevalent …
[HTML][HTML] The Application of Machine Learning and Deep Learning with a Multi-Criteria Decision Analysis for Pedestrian Modeling: A Systematic Literature Review …
Among transportation researchers, pedestrian issues are highly significant, and various
solutions have been proposed to address these challenges. These approaches include …
solutions have been proposed to address these challenges. These approaches include …