Sandia scientists developed a new type of X-ray that uses patterned multi-metal targets to create colorized, high-resolution ...

Abstract: In the world more then 10% people are suffering from lung cancer, due to this there is a need for frameworks that can detects the lung cancer at preliminary stage. However, most of the ...

Abstract: Proposed work implements ensemble-based deep learning methodologies for the classification of lung and colon cancer histopathology images. Leveraging the LC25000 dataset, consisting of ...

University of Teramo, Department of Bioscience and Technology for Food, Agriculture and Environment, Via Renato Balzarini 1, Teramo 64100, Italy ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ChatGPT learned language by gorging on the internet. In biology, however, ...

In this study, we developed a dataset of behaviors associated with lameness in dairy cows. The data collection utilized IoT collars that were placed around the necks of 10 dairy cows. This publicly ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Background: Hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2−) breast cancer is the most common subtype, characterized by heterogeneous neoadjuvant chemotherapy ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

We retrospectively identified 111 lesions, divided into training and test sets (n = 78 v 33) with equal class distribution. 3D Slicer was used to segment lesions with a short axis of >10 mm from the ...

This project applies feature extraction and machine learning to classify breast cancer (benign vs. malignant) using the Kaggle Breast Cancer Dataset. The goal is to achieve >90% accuracy, and the ...