Cancer detection Archives - IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

July 28, 2021

Creation of an Automated Fluorescence Guided Tumor Ablation System

Author(s)3: Patrick J. Codd, Daniel M. Buckland, Weston Ross, Guangshen Ma, Matthew Tucker

Creation of an Automated Fluorescence Guided Tumor Ablation System https://www.embs.org/jtehm/wp-content/uploads/sites/17/2021/07/Screen-Shot-2021-07-28-at-11.18.59-AM.png 395 337 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) //www.embs.org/jtehm/wp-content/uploads/sites/17/2022/06/ieee-jtehm-logo2x.png July 28, 2021 March 4, 2022

Objective: Create a device that improves the identification and extent of resection at the interface between healthy and tumor tissue; ultimately, using this device would improve surgical outcomes for patients…

We introduce a multi-tiered neural network architecture that accurately classifies malignant breast tissue from benign breast tissue

November 21, 2017

Efficient Cancer Detection Using Multiple Neural Networks

Author(s)3: John Shell, William D. Gregory

Efficient Cancer Detection Using Multiple Neural Networks https://www.embs.org/jtehm/wp-content/uploads/sites/17/2017/11/multi-tiered-neural-network.png 635 366 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) //www.embs.org/jtehm/wp-content/uploads/sites/17/2022/06/ieee-jtehm-logo2x.png November 21, 2017 March 4, 2022

We introduce a multi-tiered neural network architecture that accurately classifies malignant breast tissue from benign breast tissue The inspection of live excised tissue specimens to ascertain malignancy is a…