Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images.
Oscar J. Pellicer-ValeroJosé L. Marenco JiménezVictor Gonzalez-PerezJuan Luis Casanova Ramón-BorjaIsabel Martín GarcíaMaría Barrios BenitoPaula Pelechano GómezJosé Rubio-BrionesMaría José RupérezJosé David Martín-GuerreroPublished in: CoRR (2021)
Keyphrases
- prostate cancer
- fully automatic
- magnetic resonance images
- mr images
- deep learning
- partial volume
- mri data
- medical image analysis
- medical images
- magnetic resonance
- accurate segmentation
- fully automated
- manual segmentation
- semi automatic
- deformable registration
- image guided
- brain tissue
- mri images
- brain tumors
- image data
- magnetic resonance imaging
- medical imaging
- machine learning
- low contrast
- white matter
- segmentation result
- high resolution
- computer aided
- diffusion tensor
- object detection
- computer vision
- image registration
- imaging modalities
- left ventricle