DuCTSNet: MA‑SAM based fully automated DCIS segmentation and radiomic phenotyping for patient risk stratification in the ECOG‑ACRIN E4112 trial

SPIE Medical Imaging: Computer-Aided Diagnosis 2026

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Authors: Aaron Sossin, Kalina P. Slavkova, Somit Jain, Arunima Sharma, Ruya Kang, Sarah Voter, Debosmita Biswas, Eric M. Cohen, Anum S. Kazerouni, Walter C. Mankowski, Savannah C. Partridge, Joseph A. Sparano
+9 more Seema Ahsan Khan, Christopher E. Comstock, Constantine A. Gatsonis, Constance Dobbins Lehman, Justin Romanoff, Antonio C. Wolff, Jon Steingrimsson, Habib Rahbar, Despina Kontos B
DOI: 10.1117/12.3084844
Cited by: 0
References: 14

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Medical Image Segmentation Techniques AI in cancer detection

Publication details

Journal / source
SPIE Medical Imaging: Computer-Aided Diagnosis
Pages
66–66
Publication date
12 February 2026
Language
EN