Breast cancer histopathology image analysis: A review

M Veta, JPW Pluim, PJ Van Diest… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper presents an overview of methods that have been proposed for the analysis of
breast cancer histopathology images. This research area has become particularly relevant …

Methods for nuclei detection, segmentation, and classification in digital histopathology: a review—current status and future potential

H Irshad, A Veillard, L Roux… - IEEE reviews in …, 2013 - ieeexplore.ieee.org
Digital pathology represents one of the major evolutions in modern medicine. Pathological
examinations constitute the gold standard in many medical protocols, and also play a critical …

Nuclei segmentation in histopathology images using deep neural networks

P Naylor, M Laé, F Reyal… - 2017 IEEE 14th …, 2017 - ieeexplore.ieee.org
Analysis and interpretation of stained tumor sections is one of the main tools in cancer
diagnosis and prognosis, which is mainly carried out manually by pathologists. The avent of …

Recent trends in computer assisted diagnosis (CAD) system for breast cancer diagnosis using histopathological images

C Kaushal, S Bhat, D Koundal, A Singla - Irbm, 2019 - Elsevier
Breast cancer is one of the common type of cancer in females across the world. An early
detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To …

Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review

JM Chen, Y Li, J Xu, L Gong, LW Wang… - Tumor …, 2017 - journals.sagepub.com
With the advance of digital pathology, image analysis has begun to show its advantages in
information analysis of hematoxylin and eosin histopathology images. Generally …

[HTML][HTML] Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal

O Martos, MZ Hoque, A Keskinarkaus, N Kemi… - … -Research and Practice, 2023 - Elsevier
Histological analysis with microscopy is the gold standard to diagnose and stage cancer,
where slides or whole slide images are analyzed for cell morphological and spatial features …

Towards generalized nuclear segmentation in histological images

A Vahadane, A Sethi - 13th IEEE International Conference on …, 2013 - ieeexplore.ieee.org
Computer aided diagnosis in cancer pathology (computational pathology) using histological
images of biopsies is an emerging field. Segmentation of cell nuclei can be an important …

Computational hepatocellular carcinoma tumor grading based on cell nuclei classification

C Atupelage, H Nagahashi, F Kimura… - Journal of Medical …, 2014 - spiedigitallibrary.org
Hepatocellular carcinoma (HCC) is the most common histological type of primary liver
cancer. HCC is graded according to the malignancy of the tissues. It is important to diagnose …

[HTML][HTML] Cell nuclei extraction from breast cancer histopathologyimages using colour, texture, scale and shape information

A Veillard, MS Kulikova, D Racoceanu - Diagnostic Pathology, 2013 - Springer
Background Standard cancer diagnosis and prognosis procedures such as the Nottingham
Grading System for breast cancer incorporate a criterion based on cell morphology known …

[HTML][HTML] Shape analysis of 3D nanoscale reconstructions of brain cell nuclear envelopes by implicit and explicit parametric representations

M Agus, MV Castillo, JFG Molina, E Gobbetti… - Computers & Graphics …, 2019 - Elsevier
Shape analysis of cell nuclei is becoming increasingly important in biology and medicine.
Recent results have identified that large variability in shape and size of nuclei has an …