Deep learning tissue segmentation in cardiac histopathology images

JJ Nirschl, A Janowczyk, EG Peyster, R Frank… - … for medical image …, 2017 - Elsevier
… [8], and histopathological diagnostic support [14]. In this work, we explore the use … tissue
segmentation in cardiac histopathology. The two most prominent tissue classes in cardiac tissue

A dense multi-path decoder for tissue segmentation in histopathology images

QD Vu, JT Kwak - Computer methods and programs in biomedicine, 2019 - Elsevier
… For each of these combinations, we perform two separate experiments, ie, tissue segmentation
on breast tissue images and prostate tissue images. In the first experiment with the breast …

Comparison of different methods for tissue segmentation in histopathological whole-slide images

P Bándi, R Van De Loo, M Intezar… - … Biomedical Imaging …, 2017 - ieeexplore.ieee.org
… type, or due to weak staining because their tissue detection … slide image segmentation to
accurately identify the tissue … whole slide images with differing stains and tissue types from …

Histosegnet: Semantic segmentation of histological tissue type in whole slide images

L Chan, MS Hosseini, C Rowsell… - Proceedings of the …, 2019 - openaccess.thecvf.com
segmentation tool on brightfield histopathology images for a wide variety of HTTs (> 10) trained
on healthy tissues … quantitative performance on a hand-segmented subset of the Atlas of …

A U-net based approach to epidermal tissue segmentation in whole slide histopathological images

KRJ Oskal, M Risdal, EAM Janssen, ES Undersrud… - SN Applied …, 2019 - Springer
… for segmenting the epidermal areas in hematoxylin and eosin stained whole slide
histopathological images, … The proposed method is trained end-to-end on 384 000 image patches …

[HTML][HTML] Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

P Bándi, M Balkenhol, B van Ginneken, J van der Laak… - PeerJ, 2019 - peerj.com
image. Whole-slide scanners perform a tissue segmentation in a low resolution overview
image to … similar performance in tissue segmentation at a significantly lower computational cost. …

Multilevel segmentation of histopathological images using cooccurrence of tissue objects

AC Simsek, AB Tosun, C Aykanat… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
… a tissue image whereas tissue image segmentation, which is the focus of this paper, aims to
divide a heterogeneous tissue image into … features for histology tissue segmentation,” Med. …

Unsupervised morphological segmentation of tissue compartments in histopathological images

S Fouad, D Randell, A Galton, H Mehanna, G Landini - PloS one, 2017 - journals.plos.org
… annotated tissue images of oropharyngeal tissues. Qualitative and quantitative results of
the … segmentation algorithm compare favourably with eight popular tissue segmentation

Semi-supervised pixel contrastive learning framework for tissue segmentation in histopathological image

J Shi, T Gong, C Wang, C Li - IEEE Journal of Biomedical and …, 2022 - ieeexplore.ieee.org
… novel SSPCL framework for histopathology image tissue segmentation. SSPCL utilizes the
tissue structure, which models the cross-patch semantic relations for better segmentation

Unsupervised representation learning for tissue segmentation in histopathological images: From global to local contrast

Z Gao, C Jia, Y Li, X Zhang, B Hong… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
… propose a new histopathological tissue segmentation dataset for gastric … tissue segmentation
dataset, which can not only be applied to evaluate histopathological image segmentation