Results 71 to 80 of about 1,252,191 (271)
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI [PDF]
Prostate cancer is the second leading cause of cancer death among men in the United States. The diagnosis of prostate MRI often relies on the accurate prostate zonal segmentation. However, state-of-the-art automatic segmentation methods often fail to produce well-contained volumetric segmentation of the prostate zones since certain slices of prostate ...
arxiv
Impact of COVID-19 on the time to counseling and treatment of prostate cancer
Purpose This study investigates how the COVID-19 pandemic (CP) impacted the timeline between initial diagnosis (ID) of prostate carcinoma and subsequent therapy consultation (TC) or radical prostatectomy (RP) due to the implementation of a “minimal ...
Dejan K. Filipas+10 more
doaj +1 more source
Introduction This study is to examine the predictors of survival and to construct a nomogram for predicting the overall survival (OS) of primary bladder signet ring cell carcinoma (SRCC) patients based on the analysis of the Surveillance, Epidemiology ...
Liang Liu+4 more
doaj +1 more source
BackgroundThe psychological burden possibly deriving from not immediately undergoing radical treatment for prostate cancer (PCa) could be a potential disadvantage of active surveillance (AS), especially in the eve of some relevant clinical exams [i.e ...
Maria Francesca Alvisi+17 more
doaj +1 more source
Enzalutamide in Men with Nonmetastatic, Castration‐Resistant Prostate Cancer
BACKGROUND Men with nonmetastatic, castration‐resistant prostate cancer and a rapidly rising prostate‐specific antigen (PSA) level are at high risk for metastasis.
M. Hussain+11 more
semanticscholar +1 more source
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound [PDF]
Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developing such automatic solutions remains very challenging due to the missing/ambiguous boundary and inhomogeneous intensity distribution of the prostate in TRUS, as well as the ...
arxiv +1 more source
Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks [PDF]
In this work we propose to segment the prostate on a challenging dataset of trans-rectal ultrasound (TRUS) images using convolutional neural networks (CNNs) and statistical shape models (SSMs). TRUS is commonly used for a number of image-guided interventions on the prostate.
arxiv
Screening for Prostate Cancer: US Preventive Services Task Force Recommendation Statement
Importance In the United States, the lifetime risk of being diagnosed with prostate cancer is approximately 13%, and the lifetime risk of dying of prostate cancer is 2.5%. The median age of death from prostate cancer is 80 years.
D. Grossman+17 more
semanticscholar +1 more source
Framework for 3D TransRectal Ultrasound [PDF]
Prostate biopsies are mainly performed under 2D TransRectal UltraSound (TRUS) control by sampling the prostate according to a predefined pattern. In case of first biopsies, this pattern follows a random systematic plan. Sometimes, repeat biopsies can be needed to target regions unsampled by previous biopsies or resample critical regions (for example in
arxiv
The original version of this Article contained errors in Fig. 7. In panels e and f, the graph titles incorrectly read ‘LNCaP-AdtNs’ and ‘LAPC4-AdtNs’, respectively. These errors have now been corrected in both the PDF and HTML versions of the Article.
Hao Geng+16 more
doaj +1 more source