… The analysis of CT images of neoplastic lesions involves three main steps: detection,
characterization and monitoring of change over time[23]. Most of the available studies have …

… It has been demonstrated that OCT has the ability to detect dead cells based on their
scattering properties [78]. OCT is a good modality to monitor neoplastic changes in cellular scale …

Purpose: To develop and validate a deep learning (DL) model to differentiate ocular surface
squamous neoplasia (OSSN) from clinically confounding conditions, such as pterygium and …

… The use of artificial intelligence (AI) in colonoscopy has been gaining popularity by helping
… detection, with the aim to increase their adenoma detection rate (ADR) and polyp detection …

… The histology prediction was used to differentiate between neoplastic and non-neoplastic …
-analysis on polyp detection, we included studies reporting the use of AI in detecting all colonic …

… it can detect 90.8% of the same pathological cervical lesion detectable by colposcopy. The
detection sensitivity of pathological lesions that were for cervical intraepithelial neoplasia (CIN…

… The premise of improved survival through early detection is that more individuals will benefit
from potentially curative treatment. Artificial intelligence (AI) methodology has emerged as a …

… by allowing detection and resection of neoplastic polyps… artificial intelligence (AI) technologies
to tackle the issues around missed polyps and as tools to increase the adenoma detection …

… Detecting and characterizing dysplastic or neoplastic Barrett’… Artificial intelligence-based
clinical decision support systems … the current role of artificial intelligence in the management of …

… To detect and recognize neoplastic lesions, these systems use various artificial intelligence
(… In this paper, a number of applications of different classes of AI algorithms for the detection …