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 ...

The ON-SITE study has enrolled its first patient to evaluate an AI-based image analysis module for lung cancer. The ON-SITE study has enrolled its first patient.1 This multicenter investigation will ...

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 ...

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 ...