Artificial intelligence in radiology
Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated
remarkable progress in image-recognition tasks. Methods ranging from convolutional neural …
remarkable progress in image-recognition tasks. Methods ranging from convolutional neural …
Machine learning in prostate MRI for prostate cancer: current status and future opportunities
Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …
detection of prostate cancer have enabled its integration into clinical routines in the past two …
Texture analysis of medical images for radiotherapy applications
The high-throughput extraction of quantitative information from medical images, known as
radiomics, has grown in interest due to the current necessity to quantitatively characterize …
radiomics, has grown in interest due to the current necessity to quantitatively characterize …
Automated detection of clinically significant prostate cancer in mp-MRI images based on an end-to-end deep neural network
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-
parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods …
parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods …
Artificial intelligence in urooncology: what we have and what we expect
A Froń, A Semianiuk, U Lazuk, K Ptaszkowski… - Cancers, 2023 - mdpi.com
Simple Summary Our study provides an overview of the current state of artificial intelligence
applications in urooncology and explores potential future advancements in this field. With …
applications in urooncology and explores potential future advancements in this field. With …
Recent automatic segmentation algorithms of MRI prostate regions: a review
World-wide incidence rate of prostate cancer has progressively increased with time
especially with the increased proportion of elderly population. Early detection of prostate …
especially with the increased proportion of elderly population. Early detection of prostate …
Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods
Prostate cancer represents today the most typical example of a pathology whose diagnosis
requires multiparametric imaging, a strategy where multiple imaging techniques are …
requires multiparametric imaging, a strategy where multiple imaging techniques are …
Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks
Multiparametric magnetic resonance imaging (mpMRI) of the prostate aids in early diagnosis
of prostate cancer, but is difficult to interpret and subject to interreader variability. Our …
of prostate cancer, but is difficult to interpret and subject to interreader variability. Our …
Automated differentiation of benign renal oncocytoma and chromophobe renal cell carcinoma on computed tomography using deep learning
Objectives To develop and evaluate the feasibility of an objective method using artificial
intelligence (AI) and image processing in a semi‐automated fashion for tumour‐to‐cortex …
intelligence (AI) and image processing in a semi‐automated fashion for tumour‐to‐cortex …
Multiparametric MRI and radiomics in prostate cancer: a review of the current literature
F Midiri, F Vernuccio, P Purpura, P Alongi, TV Bartolotta - Diagnostics, 2021 - mdpi.com
Prostate cancer (PCa) represents the fourth most common cancer and the fifth leading cause
of cancer death of men worldwide. Multiparametric MRI (mp-MRI) has high sensitivity and …
of cancer death of men worldwide. Multiparametric MRI (mp-MRI) has high sensitivity and …