Supervised Learning Framework of Statistical Shape and Probability Priors for Automatic Prostate Segmentation in Ultrasound Images

6533b7d9fe1ef96bd126bf40

RESEARCH PRODUCT

Supervised Learning Framework of Statistical Shape and Probability Priors for Automatic Prostate Segmentation in Ultrasound Images

Soumya Ghose Arnau Oliver Jhimli Mitra Robert Marti Xavier Llado Jordi Freixenet Désiré Sidibé Josep Comet Joan Vilanova Fabrice Meriaudeau

subject

[ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging [INFO.INFO-IM] Computer Science [cs]/Medical Imaging [INFO.INFO-IM]Computer Science [cs]/Medical Imaging ComputingMilieux_MISCELLANEOUS

description

International audience

year	journal	country	edition	language
2013-12-24

https://hal.archives-ouvertes.fr/hal-00806583

PEPhysical Sciences and Engineering
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  - PE2_2 Phenomenology of fundamental interactions
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  - PE2_4Experimental particle physics without accelerators
  - PE2_6Nuclear, hadron and heavy ion physics
  - PE2_8Gas and plasma physics
  - PE2_5Classical and quantum physics of gravitational interactions
  - PE2_7Nuclear and particle astrophysics
  - PE2_9 Electromagnetism
  - PE2_10Atomic, molecular physics
  - PE2_11Ultra-cold atoms and molecules
  - PE2_18Equilibrium and non-equilibrium statistical mechanics: steady states and dynamics
  - PE2_14Lasers, ultra-short lasers and laser physics
  - PE2_17Metrology and measurement
  - PE2_16Non-linear physics
  - PE2_12Optics, non-linear optics and nano-optics
  - PE2_13Quantum optics and quantum information
  - PE2_15Thermodynamics
- PE1Mathematics
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  - PE1_8Analysis
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  - PE1_11Theoretical aspects of partial differential equations
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  - PE1_4 Algebraic and complex geometry
  - PE1_19Scientific computing and data processing
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LSLife Sciences
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SHSocial Sciences and Humanities
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