The AI4Mars project provides an environment to train and evaluate a deep learning model ... classification models for Mars, which may be useful in future autonomous rover efforts. It consists of ~326K ...

In this project, we have trained a machine learning model (a convolutional neural network called ... The U-Net is a convolutional neural network that was developed for biomedical image segmentation.

Accurate prostate segmentation in transrectal ultrasound (TRUS) is a challenging problem due to the low contrast of TRUS images and the presence of imaging artifacts such as speckle and shadow regions ...

Abstract: The purpose of federated learning is to enable multiple clients to jointly train a machine learning model without sharing data. However, the existing methods for training an image ...

An overview will be given of the role of artificial intelligence (AI) in automatic delineation (contouring) of organs in preclinical cancer research models ... learning-based automatic prostate ...