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 …

Bioinspired materials for wearable devices and point-of-care testing of cancer

RS Hazra, MR Hasan Khan, N Kale… - ACS biomaterials …, 2022 - ACS Publications
Wearable, point-of-care diagnostics, and biosensors are on the verge of bringing
transformative changes in detection, management, and treatment of cancer. Bioinspired …

Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net

Y Lei, S Tian, X He, T Wang, B Wang, P Patel… - Medical …, 2019 - Wiley Online Library
Purpose Transrectal ultrasound (TRUS) is a versatile and real‐time imaging modality that is
commonly used in image‐guided prostate cancer interventions (eg, biopsy and …

Prostate cancer detection using deep learning and traditional techniques

S Iqbal, GF Siddiqui, A Rehman, L Hussain… - IEEE …, 2021 - ieeexplore.ieee.org
Prostate cancer (PCa) is a severe type of cancer and causes major deaths among men due
to its poor diagnostic system. The images obtained from patients with carcinoma consist of …

A 3D-2D hybrid U-net convolutional neural network approach to prostate organ segmentation of multiparametric MRI

A Ushinsky, M Bardis, J Glavis-Bloom… - American journal of …, 2021 - Am Roentgen Ray Soc
Please see the Author Video associated with this article. OBJECTIVE. Prostate cancer is the
most commonly diagnosed cancer in men in the United States with more than 200,000 new …

A review of optimal prostate biopsy: indications and techniques

J Streicher, BL Meyerson… - … advances in urology, 2019 - journals.sagepub.com
Prostate biopsy is the gold standard diagnostic technique for the detection of prostate
cancer. Patient selection for prostate biopsy is complex and is influenced by emerging use of …

Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images

B Varghese, F Chen, D Hwang, SL Palmer… - Proceedings of the 11th …, 2020 - dl.acm.org
Multiparametric magnetic resonance imaging (mpMRI) has become increasingly important
for the clinical assessment of prostate cancer (PCa), but its interpretation is generally …

The FGF/FGFR system in the physiopathology of the prostate gland

A Giacomini, E Grillo, S Rezzola… - Physiological …, 2021 - journals.physiology.org
Fibroblast growth factors (FGFs) are a family of proteins possessing paracrine, autocrine, or
endocrine functions in a variety of biological processes, including embryonic development …

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study

S Vesal, I Gayo, I Bhattacharya, S Natarajan… - Medical image …, 2022 - Elsevier
Prostate biopsy and image-guided treatment procedures are often performed under the
guidance of ultrasound fused with magnetic resonance images (MRI). Accurate image fusion …

Landmarks in the evolution of prostate biopsy

MJ Connor, MA Gorin, D Eldred-Evans, EJ Bass… - Nature Reviews …, 2023 - nature.com
Approaches and techniques used for diagnostic prostate biopsy have undergone
considerable evolution over the past few decades: from the original finger-guided …