Articles

Contextual Mixing Feature Unet for Multi-Organ Nuclei Segmentation

in Image Processing

• Xi Xue
• Sei-Ichiro Kamata

NuSegDA: Domain adaptation for nuclei segmentation

in Medicine and Public Health

• Mohammad Minhazul Haq
• Hehuan Ma
• Junzhou Huang

Nuclear Segmentation in Histopathological Images Using Two-Stage Stacked U-Nets With Attention Mechanism

in Biomaterials

• Yan Kong
• Georgi Z. Genchev
• Xiaolei Wang
• Hongyu Zhao
• Hui Lu

Densely Convolutional Spatial Attention Network for nuclei segmentation of histological images for computational pathology

in Cancer Imaging and Image-directed Interventions

• Rashadul Islam Sumon
• Subrata Bhattacharjee
• Yeong-Byn Hwang
• Hafizur Rahman
• Hee-Cheol Kim
• Wi-Sun Ryu
• Dong Min Kim
• Nam-Hoon Cho
• Heung-Kook Choi

Current automated 3D cell detection methods are not a suitable replacement for manual stereologic cell counting

• Christoph Schmitz
• Brian S. Eastwood
• Susan J. Tappan
• Jack R. Glaser
• Daniel A. Peterson
• Patrick R. Hof

Assessing the Impact of Color Normalization in Convolutional Neural Network-Based Nuclei Segmentation Frameworks

in Computational Genomics

• Justin Tyler Pontalba
• Thomas Gwynne-Timothy
• Ephraim David
• Kiran Jakate
• Dimitrios Androutsos
• April Khademi

CAU-Net: A Deep Learning Method for Deep Gray Matter Nuclei Segmentation

in Brain Imaging Methods

• Chao Chai
• Mengran Wu
• Huiying Wang
• Yue Cheng
• Shengtong Zhang
• Kun Zhang
• Wen Shen
• Zhiyang Liu
• Shuang Xia

CU Cilia – an application for image analysis by machine learning – reveals significance of cysteine cathepsin K activity for primary cilia of human thyroid epithelial cells

in Thyroid Endocrinology

• Maren Rehders
• Kseniia Alekseitseva
• João Gissoni
• Alara G. Doğru
• Petr Popov
• Andrei Boiarov
• Klaudia Brix

An image analysis pipeline to quantify the spatial distribution of cell markers in stroma-rich tumors

in Computational BioImaging

• Antoine A. Ruzette
• Nina Kozlova
• Kayla A. Cruz
• Taru Muranen
• Simon F. Nørrelykke