Abstract: This study looks into the efficacy of machine learning (ML) models for early diagnosis of cervical cancer utilizing cervical imaging. They were meticulously built using a dataset of 2322 ...

Several foundation models, a type of machine learning algorithm trained on large datasets, proved highly accurate in detecting nonmelanoma skin cancers from tissue slides when adapted with minimal ...

Abstract: In this paper, we present DendroMap, a novel approach to interactively exploring large-scale image datasets for machine learning (ML). ML practitioners often explore image datasets by ...

We currently maintain 488 data sets as a service to the machine learning community. You may view all data sets through our searchable interface. For a general overview of the Repository, please visit ...

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A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...

The first Agricultural Revolution happened some 12,000 years ago, when humans settled down and started cultivating crops. We have since dramatically improved the art and science of agriculture, ...

A great cheat sheet for high quality, and diverse machine learning datasets. A few things to keep in mind when searching for high-quality datasets: A high-quality dataset should not be messy, because ...