Using the CPU for Effective and Efficient Medical Image Analysis

This paper is based on the Tianchi Healthcare AI Competition, an online challenge for automatically detecting lung nodules from computed tomography (CT) scans, cosponsored by Alibaba Cloud, Intel, and LinkDoc. In October 2017, this competition successfully concluded after an intense seven-month competition among 2,887 teams across the globe.
Autor Xiao Hu (Intel) Última actualización 24/01/2018 - 15:35

Deep Learning for Cancer Diagnosis: A Bright Future

Cancer is a leading cause of death and affects millions of lives every year. Its early detection could help to increase the survival of many lives1 in addition to saving billions of dollars.
Autor Última actualización 30/05/2019 - 14:28

AI Helps with Skin Cancer Screening

Doctor Hazel, a skin cancer screening service powered by artificial intelligence (AI) that operates in real time, relies on an extensive library of images to distinguish between skin cancer and benign lesions, making it easier for people to seek professional medical advice.
Autor admin Última actualización 15/02/2019 - 15:07

Use AI to Map Brain Connectivity

Follow an Intel® Student Ambassador who uses machine learning and AI to revolutionize medical diagnostics. These diagnostic techniques used classify the characteristics of epilepsy and Alzheimer's by analyzing how the brain is connected.
Autor admin Última actualización 13/07/2018 - 10:49

Detecting Invasive Ductal Carcinoma with Convolutional Neural Networks

This article, Machine Learning and Mammography, shows how existing deep learning technologies can be utilized to train artificial intelligence (AI) to be able to detect invasive ductal carcinoma (IDC)1 (breast cancer) in unlabeled histology images.
Autor Milton-Barker, Adam Última actualización 21/02/2019 - 11:27

Brain Tumor Segmentation using Fully Convolutional Tiramisu Deep Learning Architecture

The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
Autor Kocot, Szymon Última actualización 26/03/2019 - 16:20

Deep Learning: Build a Black Box Model for Medical Professionals

Building a Black Box Model Using Transfer Learning Introduction
Autor Kocot, Szymon Última actualización 15/08/2018 - 14:28

Doctor Hazel: A Real Time AI Device for Skin Cancer Detection

Why We Built Doctor Hazel
Autor Peter Ma Última actualización 23/07/2018 - 15:54

Using Artificial Intelligence Solutions to Improve Patient Care

The University of California, San Francisco targets data-fueled insights for clinical medicine with Intel® Xeon® processors.

Autor admin Última actualización 19/10/2018 - 10:12
Mensajes en el blog

Supercomputing 2016 HPC Server Demos

Super Computing 2016 brought into sharp focus the powerful impact HPC is having on everything from life sciences and research to machine learning.

Autor Mike P. (Intel) Última actualización 30/09/2019 - 16:50