7 accepted papers
Large-scale foundation models pretrained on massive datasets have demonstrated strong generalization capabilities in medical image analysis. However, they are typically trained on static datasets and struggle to cope with the continuously evolving nature of clinical data, where new imaging devices,
Graph-based Multiple Instance Learning (MIL) is widely used in survival analysis with Hematoxylin and Eosin (H&E)-stained whole slide images (WSIs) due to its ability to capture topological information. However, variations in staining and scanning can introduce semantic bias, while topological subgr…
Significant disparities between the features of natural images and those inherent to histopathological images make it challenging to directly apply and transfer pre-trained models from natural images to histopathology tasks. Moreover, the frequent lack of annotations in histopathology patch images h…
Fisheye lenses are renowned for their capacity to capture incredibly broad perspectives, often reaching up to 180 degrees. Their versatility extends beyond computer vision tasks and encompasses various fields. While applying computer vision techniques directly to fisheye images can yield suboptimal…
Existing filtering techniques fail to precisely detect adjacent line features in multi-scale applications. In this paper, a new filter composed of a bi-Gaussian and a semi-Gaussian kernel is proposed, capable of highlighting complex linear structures such as ridges and valleys of different widths, w…
Most of embedded cameras use a single sensor to capture images through a color filter. They produce special images with only one color component per pixel. Missing data are usually estimated through a demosaicking process, but this takes undesirable computation time and may generate undesirable colo…
Figure of merit represents an expression characterizing the performance of an algorithm. In edge detection assessment, it corresponds to a supervised evaluation by quantifying differences between a reference edge map and a candidate, computed by a performance measure/criterion. This paper introduces…