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 ...

Abstract: For image classification, it's recommended to start with traditional machine learning techniques before moving to deep learning. Support Vector Machine(SVM) is widely used in pattern ...

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 ...

Breast cancer is the most prevalent and heterogeneous form of cancer affecting women worldwide. Various therapeutic strategies are in practice based on the extent of disease spread, such as surgery, ...

Note: This repository is retired and will not be ported to use TF2. However, you may use this as a reference in doing so. This paper was presented at the 2nd International Conference on Machine ...

Data science and machine learning play a big role in the latest technology. Arthur Samuel first coined machine learning in the year 1959. It is the field of computer science that uses statistical ...

Visual recognition datasets are crucial for advancing supervised and unsupervised learning algorithms in deep learning. Key datasets include Caltech101, Caltech256, CaltechBirds, CIFAR-10, CIFAR-100, ...