Digital pathology and artificial intelligence
In modern clinical practice, digital pathology has a crucial role and is increasingly a
technological requirement in the scientific laboratory environment. The advent of whole-slide …
technological requirement in the scientific laboratory environment. The advent of whole-slide …
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 …
Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132
Image registration and fusion algorithms exist in almost every software system that creates
or uses images in radiotherapy. Most treatment planning systems support some form of …
or uses images in radiotherapy. Most treatment planning systems support some form of …
A survey of methods for 3D histology reconstruction
Histology permits the observation of otherwise invisible structures of the internal topography
of a specimen. Although it enables the investigation of tissues at a cellular level, it is invasive …
of a specimen. Although it enables the investigation of tissues at a cellular level, it is invasive …
Magnetic resonance imaging underestimation of prostate cancer geometry: use of patient specific molds to correlate images with whole mount pathology
Purpose: We evaluated the accuracy of magnetic resonance imaging in determining the size
and shape of localized prostate cancer. Materials and Methods: The subjects were 114 men …
and shape of localized prostate cancer. Materials and Methods: The subjects were 114 men …
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 …
Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI
Multi-parameter magnetic resonance imaging (mp-MRI) is increasingly popular for prostate
cancer (PCa) detection and diagnosis. However, interpreting mp-MRI data which typically …
cancer (PCa) detection and diagnosis. However, interpreting mp-MRI data which typically …
A review of artificial intelligence in prostate cancer detection on imaging
I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …
Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: preliminary findings from a multi‐institutional study
SB Ginsburg, A Algohary, S Pahwa… - Journal of Magnetic …, 2017 - Wiley Online Library
Purpose To evaluate in a multi‐institutional study whether radiomic features useful for
prostate cancer (PCa) detection from 3 Tesla (T) multi‐parametric MRI (mpMRI) in the …
prostate cancer (PCa) detection from 3 Tesla (T) multi‐parametric MRI (mpMRI) in the …
[HTML][HTML] ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate
Magnetic resonance imaging (MRI) is an increasingly important tool for the diagnosis and
treatment of prostate cancer. However, interpretation of MRI suffers from high inter-observer …
treatment of prostate cancer. However, interpretation of MRI suffers from high inter-observer …