FEEDNet: A feature enhanced encoder-decoder LSTM network for nuclei instance segmentation for histopathological diagnosis
G Deshmukh, O Susladkar, D Makwana… - Physics in Medicine & …, 2022 - iopscience.iop.org
Objective. Automated cell nuclei segmentation is vital for the histopathological diagnosis of
cancer. However, nuclei segmentation from'hematoxylin and eosin'(HE) stained'whole slide …
cancer. However, nuclei segmentation from'hematoxylin and eosin'(HE) stained'whole slide …
MIU-Net: MIX-Attention and Inception U-Net for Histopathology Image Nuclei Segmentation
J Li, X Li - Applied Sciences, 2023 - mdpi.com
In the medical field, hematoxylin and eosin (H&E)-stained histopathology images of cell
nuclei analysis represent an important measure for cancer diagnosis. The most valuable …
nuclei analysis represent an important measure for cancer diagnosis. The most valuable …
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images
The nuclei segmentation of hematoxylin and eosin (H&E) stained histopathology images is
an important prerequisite in designing a computer-aided diagnostics (CAD) system for …
an important prerequisite in designing a computer-aided diagnostics (CAD) system for …
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions
Nuclei segmentation plays an essential role in histology analysis. The nuclei segmentation
in histology images is challenging in variable conditions (clinical wild), such as poor staining …
in histology images is challenging in variable conditions (clinical wild), such as poor staining …
A two-stage U-Net algorithm for segmentation of nuclei in H&E-stained tissues
Nuclei segmentation is an important but challenging task in the analysis of hematoxylin and
eosin (H&E)-stained tissue sections. While various segmentation methods have been …
eosin (H&E)-stained tissue sections. While various segmentation methods have been …
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 …
Nuclei segmentation of HE stained histopathological images based on feature global delivery connection network
P Shi, J Zhong, L Lin, L Lin, H Li, C Wu - Plos one, 2022 - journals.plos.org
The analysis of pathological images, such as cell counting and nuclear morphological
measurement, is an essential part in clinical histopathology researches. Due to the diversity …
measurement, is an essential part in clinical histopathology researches. Due to the diversity …
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 …
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 …
Us-net for robust and efficient nuclei instance segmentation
We present a novel neural network architecture, US-Net, for robust nuclei instance
segmentation in histopathology images. The proposed framework integrates the nuclei …
segmentation in histopathology images. The proposed framework integrates the nuclei …