HDA-Net: H&E and RGB Dual Attention Network for Nuclei Instance Segmentation
YH Im, SH Park, SC Lee - IEEE Access, 2024 - ieeexplore.ieee.org
H&E-stained images (HSIs) are widely adopted for revealing cellular structures and
capturing morphological changes in nuclear instance segmentation. Despite several studies …
capturing morphological changes in nuclear instance segmentation. Despite several studies …
Nuclei probability and centroid map network for nuclei instance segmentation in histology images
Nuclei instance segmentation is an integral step in digital pathology workflow as it is a
prerequisite for most downstream tasks such as patient survival analysis, precision …
prerequisite for most downstream tasks such as patient survival analysis, precision …
Nuclear instance segmentation using a proposal-free spatially aware deep learning framework
Nuclear segmentation in histology images is a challenging task due to significant variations
in the shape and appearance of nuclei. One of the main hurdles in nuclear instance …
in the shape and appearance of nuclei. One of the main hurdles in nuclear instance …
Enhancing nucleus segmentation with haru-net: a hybrid attention based residual u-blocks network
Nucleus image segmentation is a crucial step in the analysis, pathological diagnosis, and
classification, which heavily relies on the quality of nucleus segmentation. However, the …
classification, which heavily relies on the quality of nucleus segmentation. However, the …
Extending u-net network for improved nuclei instance segmentation accuracy in histopathology images
Analysis of morphometric features of nuclei plays an important role in understanding
disease progression and predict efficacy of treatment. First step towards this goal requires …
disease progression and predict efficacy of treatment. First step towards this goal requires …
Efficient staining-invariant nuclei segmentation approach using self-supervised deep contrastive network
Existing nuclei segmentation methods face challenges with hematoxylin and eosin (H&E)
whole slide imaging (WSI) due to the variations in staining methods and nuclei shapes and …
whole slide imaging (WSI) due to the variations in staining methods and nuclei shapes and …
Dual encoder attention u-net for nuclei segmentation
A Vahadane, B Atheeth… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Nuclei segmentation in whole slide images (WSIs) stained with Hematoxylin and Eosin
(H&E) dye, is a key step in computational pathology which aims to automate the laborious …
(H&E) dye, is a key step in computational pathology which aims to automate the laborious …
A hybrid-attention nested UNet for nuclear segmentation in histopathological images
Nuclear segmentation of histopathological images is a crucial step in computer-aided image
analysis. There are complex, diverse, dense, and even overlapping nuclei in these …
analysis. There are complex, diverse, dense, and even overlapping nuclei in these …
A dual decoder u-net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images
Even in the era of precision medicine, with various molecular tests based on omics
technologies available to improve the diagnosis process, microscopic analysis of images …
technologies available to improve the diagnosis process, microscopic analysis of images …
A fast and accurate algorithm for nuclei instance segmentation in microscopy images
Z Cheng, A Qu - IEEE Access, 2020 - ieeexplore.ieee.org
Nuclei instance segmentation within microscopy images is a fundamental task in the
pathology work-flow, based on that the meaningful nuclear features can be extracted and …
pathology work-flow, based on that the meaningful nuclear features can be extracted and …