24 citations · 24 across the 4 of their papers we have counts for
4 papers
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…
A Link between Coding Theory and Cross-Validation with Applications
Tapio Pahikkala, Parisa Movahedi, Ileana Montoya +4
How many different binary classification problems a single learning algorithm can solve on a fixed data with exactly zero or at most a given number of cross-validation errors? Whil…
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…
Tournament Leave-pair-out Cross-validation for Receiver Operating Characteristic (ROC) Analysis
Ileana Montoya Perez, Antti Airola, Peter J. Boström +2
Receiver operating characteristic (ROC) analysis is widely used for evaluating diagnostic systems. Recent studies have shown that estimating an area under ROC curve (AUC) with stan…