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Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours

  • Published:2019-06 Issue: Volume:97 Page:44-60
  • ISSN:0933-3657
  • Container-title:Artificial Intelligence in Medicine
  • language:en
  • Short-container-title:Artificial Intelligence in Medicine

Author:

Rampun Andrik,Scotney Bryan W.,Morrow Philip J.,Wang Hui,Winder John

Funder

European Union's Horizon 2020 research and innovation programme

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference50 articles.

1. Breast cancer statistics;UK Cancer Research,2014

2. Breast cancer statistics;UK Cancer Research,2014

3. Deep learning in mammography and breast histology, an overview and future trends;Hamidinekoo;Med Image Anal,2018

4. Breast density classification using local quinary patterns with various neighbourhood topologies;Rampun;J Imaging,2018

5. Fully automated breast boundary and pectoral muscle segmentation in mammograms;Rampun;Artif Intell Med,2017

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2. Comparative Study On Segmentation Methods Of Fundus Images;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

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4. Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images;Interdisciplinary Sciences: Computational Life Sciences;2023-01-07

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