Johns Hopkins University School of Medicine researchers unveil a new artificial intelligence (AI) deep learning digital ...

Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5k images and scored a Dice ...

This repository contains a clean, minimal, and fully reproducible implementation of UNet for breast ultrasound lesion segmentation. The purpose of this project is to build a solid baseline that is ...

Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...

Google’s new TPU generations, including Trillium and Ironwood, are emerging as the strongest challenge yet to Nvidia’s GPU ...

Orchestration Layer – The “brain” is normally designed using frameworks such as Apache Airflow, Prefect, or AWS Step Functions to manage dependencies, triggers and the actual running of tasks; it ...

Abstract: Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US image segmentation is crucial in image analysis. Recently, deep learning-based methods are ...

Abstract: Image semantic segmentation represents a significant area of research within the field of computer vision. With the advent of deep learning, image semantic segmentation techniques that ...