Transfer learning techniques for medical image analysis: A review

P Kora, CP Ooi, O Faust, U Raghavendra… - Biocybernetics and …, 2022 - Elsevier
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives

OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …

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 …

Development and validation of an artificial intelligence–powered platform for prostate cancer grading and quantification

W Huang, R Randhawa, P Jain, KA Iczkowski… - JAMA network …, 2021 - jamanetwork.com
Importance The Gleason grading system has been the most reliable tool for the prognosis of
prostate cancer since its development. However, its clinical application remains limited by …

[HTML][HTML] Deep learning in prostate cancer diagnosis and Gleason grading in histopathology images: An extensive study

AHM Linkon, MM Labib, T Hasan, M Hossain - Informatics in Medicine …, 2021 - Elsevier
Among American men, prostate cancer is the cause of the second-highest death by any
cancer. It is also the most common cancer in men worldwide, and the annual numbers are …

A review on prediction and prognosis of the prostate cancer and gleason grading of prostatic carcinoma using deep transfer learning based approaches

GP Kanna, SJKJ Kumar, P Parthasarathi… - … Methods in Engineering, 2023 - Springer
Prostate cancer is a dangerous type of cancer that kills a lot of men because it is hard to
diagnose. Images taken of people with carcinoma have complex and important parts that are …

Artificial intelligence-enabled prostate cancer diagnosis and prognosis: current state and future implications

S Satturwar, AV Parwani - Advances in Anatomic Pathology, 2024 - journals.lww.com
In this modern era of digital pathology, artificial intelligence (AI)-based diagnostics for
prostate cancer has become a hot topic. Multiple retrospective studies have demonstrated …

A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading

A Morozov, M Taratkin, A Bazarkin, JG Rivas… - Prostate Cancer and …, 2023 - nature.com
Background Artificial intelligence (AI) is a promising tool in pathology, including cancer
diagnosis, subtyping, grading, and prognostic prediction. Methods The aim of the study is to …

Prediction of prostate cancer biochemical and clinical recurrence is improved by IHC-assisted grading using Appl1, Sortilin and Syndecan-1

JM Logan, AM Hopkins, C Martini, A Sorvina, P Tewari… - Cancers, 2023 - mdpi.com
Simple Summary A novel biomarker panel (Appl1, Sortilin and Syndecan-1) was
demonstrated as a strong independent predictor for both clinical and biochemical …

[HTML][HTML] Aberrant protein expression of Appl1, Sortilin and Syndecan-1 during the biological progression of prostate cancer

C Martini, JM Logan, A Sorvina, C Gordon, AR Beck… - Pathology, 2023 - Elsevier
Diagnosis and assessment of patients with prostate cancer is dependent on accurate
interpretation and grading of histopathology. However, morphology does not necessarily …