Using deep machine learning to detect esophageal lesions in PET-CT scans

Author:

Ackerley Ian,Spezi Emilio,Prakash Vineet,Smith Rhodri L.,Scuffham James W.,Lewis Emma,Halling-Brown Mark D.,Wells Kevin

Publisher

SPIE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Labeling of Glycolytic Volumes In PET Using Deep Texture Analysis;2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD);2023-11-04

2. A Deep Texture Metric for PET Image Quantification and Image Synthesis;2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD);2023-11-04

3. A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children;Journal of Digital Imaging;2023-03-10

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