This repository provides modularized Python scripts for benchmarking and validating histopathology foundation models (HFMs) on downstream tasks such as linear probing, k-nearest neighbor (kNN), ABMIL ...

This study introduces an enhanced texture-based algorithm for the classification of oral cancer images. The images are first extensively preprocessed to enhance the affected area with techniques like ...

Even in the age of deep learning, K-Nearest Neighbors (KNN) remains a trusted workhorse in many ML toolkits. Why? Because it’s simple, intuitive, and surprisingly powerful for a range of tasks like ...

Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...

Have you ever wondered how to classify new data points based on their similarities to existing data? That's where KNN Classification comes in! In this article, we'll delve into the world of KNN ...

Machine learning is rapidly emerging as one of the most transformative technologies in the digital age. It combines the principles of computer science, statistics, and data analysis to develop ...

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and ...

Graph-enhanced CNN framework for brain tumor MRI classification using image preprocessing, data augmentation, graph convolution operations, and deep learning techniques for healthcare AI. End-to-end ...

Medical image analysis is of tremendous importance in serving clinical diagnosis, treatment planning, as well as prognosis assessment. However, the image analysis process usually involves multiple ...

Currently, we witness the severe spread of the pandemic of the new Corona virus, COVID-19, which causes dangerous symptoms to humans and animals, its complications may lead to death. Although ...