[HTML][HTML] Deep learning methodologies applied to digital pathology in prostate cancer: a systematic review

N Rabilloud, P Allaume, O Acosta, R De Crevoisier… - Diagnostics, 2023 - mdpi.com
Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in
Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on …

[HTML][HTML] Harnessing artificial intelligence for prostate cancer management

L Zhu, J Pan, W Mou, L Deng, Y Zhu, Y Wang… - Cell Reports …, 2024 - cell.com
Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is
crucial for clinical decision-making, but traditional pathology review is labor intensive and …

[HTML][HTML] A deep learning model for prostate adenocarcinoma classification in needle biopsy whole-slide images using transfer learning

M Tsuneki, M Abe, F Kanavati - Diagnostics, 2022 - mdpi.com
The histopathological diagnosis of prostate adenocarcinoma in needle biopsy specimens is
of pivotal importance for determining optimum prostate cancer treatment. Since diagnosing a …

Artificial intelligence–based algorithms for the diagnosis of prostate cancer: A systematic review

S Marletta, A Eccher, FM Martelli… - American Journal of …, 2024 - academic.oup.com
Objectives The high incidence of prostate cancer causes prostatic samples to significantly
affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging …

Don't fear the artificial intelligence: a systematic review of machine learning for prostate cancer detection in pathology

A Frewing, AB Gibson, R Robertson… - … of Pathology & …, 2024 - meridian.allenpress.com
Context Automated prostate cancer detection using machine learning technology has led to
speculation that pathologists will soon be replaced by algorithms. This review covers the …

[HTML][HTML] Multi-stage classification-based deep learning for gleason system grading using histopathological images

K Hammouda, F Khalifa, NS Alghamdi, H Darwish… - Cancers, 2022 - mdpi.com
Simple Summary Prostate cancer (PC) is the most common cancer and the second that
causes death in the US. The means of PC treatment have improved with the low-risk disease …

Estimating the Irreducible Uncertainty in Visual Diagnosis: Statistical Modeling of Skill Using Response Models

MV Pusic, A Rapkiewicz, T Raykov… - Medical Decision …, 2023 - journals.sagepub.com
Background For the representative problem of prostate cancer grading, we sought to
simultaneously model both the continuous nature of the case spectrum and the decision …

[HTML][HTML] Special Issue “Computer Aided Diagnosis Sensors”

A El-Baz, GA Giridharan, A Shalaby, AH Mahmoud… - Sensors, 2022 - mdpi.com
Sensors used to diagnose, monitor or treat diseases in the medical domain are known as
medical sensors. There are several types of medical sensors that can be utilized for various …

Prostate Cancer Diagnosis from Structured Clinical Biomarkers with Deep Learning

MT El-Melegy, A Mamdouh, SA Ali… - … Conference on Digital …, 2022 - ieeexplore.ieee.org
Prostate cancer (PC) is one of the most aggressive cancers that exist. Early detection of PC
is indispensable for treatment. Biopsies are often carried out to determine the Gleason score …

Early identification of diabetic retinopathy through a computer-assisted diagnostic system and a higher-order spatial appearance model of 3D-OCT

M Elsharkawy, A Sharafeldeen… - Photo Acoustic and …, 2023 - iopscience.iop.org
The timely detection of diabetic retinopathy (DR) is crucial to prevent serious harm to the
optic nerve and potential visualization damage. This research proposes a computer-aided …