Computational nuclei segmentation methods in digital pathology: a survey
T Hayakawa, VBS Prasath, H Kawanaka… - … Methods in Engineering, 2021 - Springer
Pathology is an important field in modern medicine. In particular, the step of nuclei
segmentation is an important step in cancer analysis, diagnosis, and grading because …
segmentation is an important step in cancer analysis, diagnosis, and grading because …
A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images
This paper addresses the task of nuclei segmentation in high-resolution histopathology
images. We propose an automatic end-to-end deep neural network algorithm for …
images. We propose an automatic end-to-end deep neural network algorithm for …
Singular Nuclei Segmentation for Automatic HER2 Quantification Using CISH Whole Slide Images
Human epidermal growth factor receptor 2 (HER2) quantification is performed routinely for
all breast cancer patients to determine their suitability for HER2-targeted therapy …
all breast cancer patients to determine their suitability for HER2-targeted therapy …
A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology
In the cancer diagnosis pipeline, digital pathology plays an instrumental role in the
identification, staging, and grading of malignant areas on biopsy tissue specimens. High …
identification, staging, and grading of malignant areas on biopsy tissue specimens. High …
Segmentation of HE-stained meningioma pathological images based on pseudo-labels
C Wu, J Zhong, L Lin, Y Chen, Y Xue, P Shi - Plos one, 2022 - journals.plos.org
Biomedical research is inseparable from the analysis of various histopathological images,
and hematoxylin-eosin (HE)-stained images are one of the most basic and widely used …
and hematoxylin-eosin (HE)-stained images are one of the most basic and widely used …
Color normalization approach to adjust nuclei segmentation in images of hematoxylin and eosin stained tissue
A Piórkowski, A Gertych - … 6th International Conference, ITIB'2018, Kamień …, 2019 - Springer
Lack of standards in hematoxylin and eosin (H&E) tissue staining across laboratories is one
of the reasons for differences in appearance of specimens under the microscope. It also …
of the reasons for differences in appearance of specimens under the microscope. It also …
Deep PCANet framework for the binary categorization of breast histopathology images
R Mukkamala, PS Neeraja, S Pamidi… - … on Advances in …, 2018 - ieeexplore.ieee.org
Breast Cancer is one of leading causes for high mortality among women across the world. A
computer aided diagnosis tool for examining breast tumor histopathology images and …
computer aided diagnosis tool for examining breast tumor histopathology images and …
A survey on automatic breast cancer grading of histopathological images
H Amitha, I Selvamani - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Histopathology deals with the microscopic examination of tissues. The thin tissue specimen
is collected from patients' body and converted to slides to make them useful for microscopic …
is collected from patients' body and converted to slides to make them useful for microscopic …