Articles

Artificial Intelligence and Informatics - Original Article

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: in vivo experiments on discretization and resampling parameters

Burak Koçak
Sabahattin Yüzkan
Samet Mutlu
Mehmet Karagülle
Ahmet Kala
Mehmet Kadıoğlu
Sıla Solak
Şeyma Sunman
Zişan Hayriye Temiz
Ali Kürşad Ganiyusufoğlu

Diagn Interv Radiol 0; 0: 0-0 [e-Pub] DOI: 10.4274/dir.2023.232543 PMID:38073244

Machine learning analysis of adrenal lesions: preliminary study evaluating texture analysis in the differentiation of adrenal lesions

Canan Altay
Işıl Başara Akın
Abdullah Hakan Özgül
Süleyman Cem Adıyaman
Abdullah Serkan Yener
Mustafa Seçil

Diagn Interv Radiol 2023; 29: 234-243 DOI: 10.5152/dir.2022.21266 PMID:36987841

Abdominal Imaging - Original Article

Distinguishing T1-2 and T3a tumors of rectal cancer with texture analysis and functional MRI parameters

Danqi Sun
Xiaojuan Wu
Linghua Wang
Guangzheng Li
Jingyu Huang
Yonggang Li

Diagn Interv Radiol 2022; 28: 200-207 DOI: 10.5152/dir.2022.20872

Evaluating the added benefit of CT texture analysis on conventional CT analysis to differentiate benign ovarian cysts

Minkook Seo
Moon Hyung Choi
Young Joon Lee
Seung Eun Jung
Sung Eun Rha

Diagn Interv Radiol 2021; 27: 460-468 DOI: 10.5152/dir.2021.20225

Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion

Aytül Hande Yardımcı
Burak Koçak
Ceyda Turan Bektaş
İpek Sel
Enver Yarıkkaya
Nevra Dursun
Hasan Bektaş
Çiğdem Usul Afşar
Rıza Umar Gürsu
Özgür Kılıçkesmez

Diagn Interv Radiol 2020; 26: 515-522 DOI: 10.5152/dir.2020.19507

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