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 …

Evaluating cancer-related biomarkers based on pathological images: a systematic review

X Xie, X Wang, Y Liang, J Yang, Y Wu, L Li… - Frontiers in …, 2021 - frontiersin.org
Many diseases are accompanied by changes in certain biochemical indicators called
biomarkers in cells or tissues. A variety of biomarkers, including proteins, nucleic acids …

Breast thermography from an image processing viewpoint: A survey

TB Borchartt, A Conci, RCF Lima, R Resmini… - Signal processing, 2013 - Elsevier
Breast cancer is the leading cause of death among women. This fact justifies researches to
reach early diagnosis, improving patients' life expectancy. Moreover, there are other …

Nuclear atypia grading in breast cancer histopathological images based on CNN feature extraction and LSTM classification

S Karimi Jafarbigloo, H Danyali - CAAI Transactions on …, 2021 - Wiley Online Library
Early diagnosis of breast cancer, the most common disease among women around the
world, increases the chance of treatment and is highly important. Nuclear atypia grading in …

Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer

E Tekin, Ç Yazıcı, H Kusetogullari, F Tokat… - Scientific Reports, 2023 - nature.com
The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually
evaluated by pathologists. In this paper, a computer-aided patch-based deep learning …

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 …

Automatic breast cancer grading of histopathological images

JR Dalle, WK Leow, D Racoceanu… - 2008 30th Annual …, 2008 - ieeexplore.ieee.org
Breast cancer grading of histopathological images is the standard clinical practice for the
diagnosis and prognosis of breast cancer development. In a large hospital, a pathologist …

Time-efficient sparse analysis of histopathological whole slide images

CH Huang, A Veillard, L Roux, N Loménie… - … medical imaging and …, 2011 - Elsevier
Histopathological examination is a powerful standard for the prognosis of critical diseases.
But, despite significant advances in high-speed and high-resolution scanning devices or in …

[PDF][PDF] Nuclear pleomorphism scoring by selective cell nuclei detection.

JR Dalle, H Li, CH Huang, WK Leow, D Racoceanu… - WACV, 2009 - pequan.lip6.fr
Scoring the nuclear pleomorphism in histopathological images is a standard clinical practice
for the diagnosis and prognosis of breast cancer. It relies highly on the experience of the …

A comprehensive review of tubule formation in histopathology images: advancement in tubule and tumor detection techniques

JJW Siet, XJ Tan, WL Cheor, KS Ab Rahman… - Artificial Intelligence …, 2024 - Springer
Breast cancer, the earliest documented cancer in history, stands as a foremost cause of
mortality, accounting for 684,996 deaths globally in 2020 (15.5% of all female cancer cases) …