Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer.
Ansh RogeAmogh HiremathMichael SobotaSree Harsha TirumaniLeonardo Kayat BittencourtJustin ReamRyan WardHalimat OlaniyanSadhna VermaAndrei S. PuryskoAnant MadabhushiRakesh ShiradkarPublished in: Medical Imaging: Computer-Aided Diagnosis (2022)
Keyphrases
- deep learning
- prostate cancer
- mr images
- medical image analysis
- prostate biopsy
- unsupervised learning
- image guided
- medical images
- magnetic resonance images
- prostate segmentation
- deformable registration
- machine learning
- medical imaging
- computer aided
- magnetic resonance
- radiation therapy
- treatment plan
- magnetic resonance spectroscopy
- cancer patients
- mri data
- manual segmentation
- mental models
- weakly supervised
- magnetic resonance imaging
- dce mri
- object detection
- image features
- image analysis