arXiv AI By Deshan Kalupahana, Sonit Singh, Praveen Ravindran, Arcot Sowmya

Preserving Anatomical Continuity: Three-Stage Pipeline for Colon Segmentation in 3D Abdominal CT Scans

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The paper presents a three‑stage pipeline for colon segmentation in 3D abdominal CT scans that preserves anatomical continuity. First, a deep‑learning model generates an initial segmentation; second, centreline bridging reconnects disjoint regions; third, a reconstruction stage refines the continuity. Experiments on the TotalSegmentator and RAOS datasets show that the method improves topological consistency while keeping segmentation accuracy high.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Oct 1

Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models

The paper presents an automated segmentation pipeline for whole‑slide histopathology images of colorectal cancer, labeling tumor grades 1‑3 and normal mucosa. It employs dense prediction transformers with multiple encoder backbones, overlapping patches, test‑time augmentation, and an adaptive augmentation policy guided by large language models. The approach, combined with soft‑voting ensembles and post‑processing refinements, raises the F1 score from 62.92 to 69.84 on a colorectal cancer grade dataset.

By \"Umit Mert \c{C}a\u{g}lar, Alptekin Temizel
arXiv AI
Jul 16

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning

arXiv:2607. 13826v1 Announce Type: cross Abstract: Accurate determination of pancreatic ductal adenocarcinoma (PDAC) resectability relies on evaluating how the tumor interacts with major peripancreatic vessels on CT imaging, yet expert assessment often shows substantial variability.

By Vincent Ochs, Christoph Kuemmerli, Florentin Bieder, Julia Wolleb, Joel L. Lavanchy, Julia Ruppel, Jan Liechti, Stephanie Taha-Mehlitz, Christian Andreas Nebiker, Beat Mueller, Giuseppe Kito Fusai, Joerg-Matthias Pollok, Anas Taha, Philippe C. Cattin, Sebastian Staubli