10 citations · 10 across the 2 of their papers we have counts for
3 papers
SLICEChat: Progressive In-Encoder Token Pruning for Whole-Slide Pathology Language Models
Ali Kerem Bozkurt, Baris Cem Bakay, Ibrahim Kulac +3
Whole-slide pathology images (WSIs) contain gigapixel-scale visual content, creating a major scalability challenge for slide-level multimodal large language models (MLLMs). Existin…
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images
Selahattin Cansiz, Cem Kesim, Sevval Nur Bektas +3
The Henle's fiber layer (HFL) in the retina carries valuable information on the macular condition of an eye. However, in the common practice, this layer is not separately segmented…
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images
C. T. Sari, C. Sokmensuer, C. Gunduz-Demir
This paper presents a new regularization method to train a fully convolutional network for semantic tissue segmentation in histopathological images. This method relies on the benef…