Artificial intelligence in cancer imaging: clinical challenges and applications
Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered
data with nuanced decision making. Cancer offers a unique context for medical decisions …
data with nuanced decision making. Cancer offers a unique context for medical decisions …
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 …
Joint prostate cancer detection and Gleason score prediction in mp-MRI via FocalNet
Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for
diagnosing prostate cancer (PCa). However, mp-MRI for PCa diagnosis is currently limited …
diagnosing prostate cancer (PCa). However, mp-MRI for PCa diagnosis is currently limited …
Prostate cancer classification with multiparametric MRI transfer learning model
Purpose Prostate cancer classification has a significant impact on the prognosis and
treatment planning of patients. Currently, this classification is based on the Gleason score …
treatment planning of patients. Currently, this classification is based on the Gleason score …
A deep learning-based approach for the detection and localization of prostate cancer in T2 magnetic resonance images
We address the problem of prostate lesion detection, localization, and segmentation in T2W
magnetic resonance (MR) images. We train a deep convolutional encoder-decoder …
magnetic resonance (MR) images. We train a deep convolutional encoder-decoder …
False positive reduction using multiscale contextual features for prostate cancer detection in multi-parametric MRI scans
Prostate cancer (PCa) is the most prevalent and one of the leading causes of cancer death
among men. Multi-parametric MRI (mp-MRI) is a prominent diagnostic scan, which could …
among men. Multi-parametric MRI (mp-MRI) is a prominent diagnostic scan, which could …
Cross-modal prostate cancer segmentation via self-attention distillation
The automatic and accurate segmentation of the prostate cancer from the multi-modal
magnetic resonance images is of prime importance for the disease assessment and follow …
magnetic resonance images is of prime importance for the disease assessment and follow …
Diagnostic performance evaluation of multiparametric magnetic resonance imaging in the detection of prostate cancer with supervised machine learning methods
H Nematollahi, M Moslehi, F Aminolroayaei, M Maleki… - Diagnostics, 2023 - mdpi.com
Prostate cancer is the second leading cause of cancer-related death in men. Its early and
correct diagnosis is of particular importance to controlling and preventing the disease from …
correct diagnosis is of particular importance to controlling and preventing the disease from …
Non-Invasive Estimation of Gleason Score by Semantic Segmentation and Regression Tasks Using a Three-Dimensional Convolutional Neural Network
T Yoshimura, K Manabe, H Sugimori - Applied Sciences, 2023 - mdpi.com
The Gleason score (GS) is essential in categorizing prostate cancer risk using biopsy. The
aim of this study was to propose a two-class GS classification (< and≥ GS 7) methodology …
aim of this study was to propose a two-class GS classification (< and≥ GS 7) methodology …
Prostate cancer grading framework based on deep transfer learning and Aquila optimizer
Prostate cancer is the one of the most dominant cancer among males. It represents one of
the leading cancer death causes worldwide. Due to the current evolution of artificial …
the leading cancer death causes worldwide. Due to the current evolution of artificial …