Segment-then-segment: context-preserving crop-based segmentation for large biomedical images

HIGHLIGHTS

  • who: Marin Benu010deviu0107 et al. from the Faculty of Electrical Engineering, Computer Science and Information Technology, JJStrossmayer University, Chongqing, China have published the research work: Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images, in the Journal: Sensors 2023, 23, 633. of /2023/
  • what: The authors evaluate the approach on multiple medical image modalities (microscopy colonoscopy and CT) and show that this approach greatly improves segmentation performance with small network input sizes when compared to baseline models trained on downscaled images especially in terms of pixel-wise recall. The authors propose a . . .

     

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