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MEDICAL IMAGING 2019: IMAGE PROCESSING

Landman, BA [ed.]; Angelini, ED [ed.]

English Conference proceedings (Book) Scientific

Published: International Society for Optics and Photonics (SPIE), Bellingham (WA), United States of America 2019

Series: Proceedings of SPIE 0277-786X 1996-756X

Identifiers

MTMT: 30913100

Chapters

Javaid Umair et al. Semantic segmentation of computed tomography for radiotherapy with deep learning: Compensating insufficient annotation quality using contour augmentation. (2019) In: MEDICAL IMAGING 2019: IMAGE PROCESSING
Nadeem Syed Ahmed et al. A Fully Automated CT-Based Airway Segmentation Algorithm using Deep Learning and Topological Leakage Detection and Branch Augmentation Approaches. (2019) In: MEDICAL IMAGING 2019: IMAGE PROCESSING
Ojeda P. et al. The Utility of Deep Learning: Evaluation of a Convolutional Neural Network for Detection of Intracranial Bleeds on Non-Contrast Head Computed Tomography Studies. (2019) In: MEDICAL IMAGING 2019: IMAGE PROCESSING
Reinhold Jacob C. et al. Evaluating the Impact of Intensity Normalization on MR Image Synthesis. (2019) In: MEDICAL IMAGING 2019: IMAGE PROCESSING
Schau Geoffrey et al. Variational Autoencoding Tissue Response to Microenvironment Perturbation. (2019) In: MEDICAL IMAGING 2019: IMAGE PROCESSING

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2025-04-25 13:14

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