Content based medical image retrieval using multi-feature extraction and patch Sorensen similarity indexing technique
In the intricate field of medical imaging, the analysis of image content plays a pivotal role in classification, retrieval, and indexing tasks, as well as in recognising objects and different settings within the image. While innovative, traditional ...
Identifying molecular subtypes of breast cancer using single cell RNA-seq data integration and random forest classification
Single-cell RNA sequencing (scRNA-seq) has been invaluable in advancing our understanding of various cancers, including breast cancer. The extensive analysis of scRNA-seq data from multiple independent breast cancer studies helped build an integrated ...
Autism spectrum disorder detection using machine learning techniques
Autism is a developmental disorder that occurs in early childhood and affects communication and social interaction; it includes specific and recurring patterns of behaviour. There is no specific cause for autism and there is no direct treatment for it. ...
Predictive analysis on histopathological images using metaheuristics and machine learning method
The computer-based diagnosis system using histopathology images has always been the centre of research and improvement. Automated histopathological image classification systems have advanced to greater heights as a result of development in digital ...
