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 …
[HTML][HTML] Automatic segmentation of pelvic cancers using deep learning: State-of-the-art approaches and challenges
The recent rise of deep learning (DL) and its promising capabilities in capturing non-explicit
detail from large datasets have attracted substantial research attention in the field of medical …
detail from large datasets have attracted substantial research attention in the field of medical …
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Prostate cancer is the most common malignant tumors in men but prostate Magnetic
Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland …
Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland …
Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net
Magnetic resonance imaging (MRI) provides detailed anatomical images of the prostate and
its zones. It has a crucial role for many diagnostic applications. Automatic segmentation such …
its zones. It has a crucial role for many diagnostic applications. Automatic segmentation such …
Superpixel-based segmentation for 3D prostate MR images
This paper proposes a method for segmenting the prostate on magnetic resonance (MR)
images. A superpixel-based 3D graph cut algorithm is proposed to obtain the prostate …
images. A superpixel-based 3D graph cut algorithm is proposed to obtain the prostate …
Fully automatic segmentation on prostate MR images based on cascaded fully convolution network
Background Computer‐aided diagnosis (CAD) can aid radiologists in quantifying prostate
cancer, and MRI segmentation plays an essential role in CAD applications. Clinical …
cancer, and MRI segmentation plays an essential role in CAD applications. Clinical …
Automated segmentation of prostate zonal anatomy on T2‐weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U‐Nets
Purpose Accurate regional segmentation of the prostate boundaries on magnetic resonance
(MR) images is a fundamental requirement before automated prostate cancer diagnosis can …
(MR) images is a fundamental requirement before automated prostate cancer diagnosis can …
Computer-aided detection of prostate cancer with MRI: technology and applications
One in six men will develop prostate cancer in his lifetime. Early detection and accurate
diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently …
diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently …
Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse‐to‐fine convolutional neural network
Purpose Brachytherapy combined with external beam radiotherapy (EBRT) is the standard
treatment for cervical cancer and has been shown to improve overall survival rates …
treatment for cervical cancer and has been shown to improve overall survival rates …
Towards patient-individual PI-Rads v2 sector map: CNN for automatic segmentation of prostatic zones from T2-weighted MRI
Automatic segmentation of the prostate, its inner and surrounding structures is highly
desired for various applications. Several works have been presented for segmentation of …
desired for various applications. Several works have been presented for segmentation of …