eess.IV · 2026-06-30 · No. 39
Image and Video Processing, 2026-06-30.
2 new papers in eess.IV. Titles, authors,
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01 — The papers
2 entries-
01
A multi-architecture study of specificity refinement and false-positive mechanism analysis in prostate MRI
Yongbo Shu, Kewen Chen, Yifeng Yuan, Zirui Xin, Luo Lei, Yang Yang, Xi Chen, Aijing Luo
eess.IV · cs.CV · cs.LG
Objectives: To characterize residual false positives in prostate MRI detection, and to evaluate a lightweight post-hoc refinement head for case-level specificity. Materials and Methods: This retrospective study used PI-CAI (5-fold cross-validation) and Prostate158 (n=158; external). A context-aware evidence head and an 89,216-parameter refinement head were trained on a frozen detection backbone; the evidence head was also trained on four...
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02
Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction
Dominik Winter, Dominik Vonficht, Loïc Le Bescond, Christian Gebbe, Marco Rosati, Richard J. Chen, Markus Schick,...
eess.IV · cs.AI · q-bio.GN
H&E-stained whole-slide images offer cohort-scale availability and rich spatial context but lack molecular specificity, whereas bulk RNA-seq provides transcriptome-wide resolution at high cost with limited archival availability. We show that training a lightweight alignment module atop frozen histopathology and RNA-Seq foundation models enables open-vocabulary molecular prompting -- querying H&E slides with gene-set signatures to predict...
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