2 papers
cs.LG2024
Cross-Vendor Reproducibility of Radiomics-based Machine Learning Models for Computer-aided Diagnosis
Jatin Chaudhary, Ivan Jambor, Hannu Aronen +6
Background: The reproducibility of machine-learning models in prostate cancer detection across different MRI vendors remains a significant challenge. Methods: This study investigat…
eess.IV2020
Accurate Prostate Cancer Detection and Segmentation on Biparametric MRI using Non-local Mask R-CNN with Histopathological Ground Truth
Zhenzhen Dai, Ivan Jambor, Pekka Taimen +8
Purpose: We aimed to develop deep machine learning (DL) models to improve the detection and segmentation of intraprostatic lesions (IL) on bp-MRI by using whole amount prostatectom…