Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review
Prostate cancer is the second most diagnosed cancer of men all over the world. In the last
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
Multiparametric MRI and radiomics in prostate cancer: a review
Y Sun, HM Reynolds, B Parameswaran… - Australasian physical & …, 2019 - Springer
Multiparametric MRI (mpMRI) is an imaging modality that combines anatomical MR imaging
with one or more functional MRI sequences. It has become a versatile tool for detecting and …
with one or more functional MRI sequences. It has become a versatile tool for detecting and …
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 …
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 …
Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS
Even though 1 in 6 men in the US, in their lifetime are expected to be diagnosed with
prostate cancer (CaP), only 1 in 37 is expected to die on account of it. Consequently, among …
prostate cancer (CaP), only 1 in 37 is expected to die on account of it. Consequently, among …
Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer …
Recently, both Magnetic Resonance (MR) Imaging (MRI) and Spectroscopy (MRS) have
emerged as promising tools for detection of prostate cancer (CaP). However, due to the …
emerged as promising tools for detection of prostate cancer (CaP). However, due to the …
A hybrid end-to-end approach integrating conditional random fields into CNNs for prostate cancer detection on MRI
Featured Application Integration of Conditional Random Fields into Convolutional Neural
Networks as a hybrid end-to-end approach for prostate cancer detection on non-contrast …
Networks as a hybrid end-to-end approach for prostate cancer detection on non-contrast …
In-vitro and in-vivo diagnostic techniques for prostate cancer: A review
This paper overviews one of the most important, interesting, and challenging problems in
oncology, early diagnosis of prostate cancer. Developing effective diagnostic techniques for …
oncology, early diagnosis of prostate cancer. Developing effective diagnostic techniques for …
Computer-aided diagnosis for prostate cancer using multi-parametric magnetic resonance imaging
G Lemaitre - 2016 - u-bourgogne.hal.science
Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world. CaP
growth is characterized by two main types of evolution:(i) the slow-growing tumours progress …
growth is characterized by two main types of evolution:(i) the slow-growing tumours progress …
Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer
SB Ginsburg, M Rusu, J Kurhanewicz… - Medical Imaging …, 2014 - spiedigitallibrary.org
In this study we explore the ability of a novel machine learning approach, in conjunction with
computer-extracted features describing prostate cancer morphology on pre-treatment MRI …
computer-extracted features describing prostate cancer morphology on pre-treatment MRI …