Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology

K Bera, KA Schalper, DL Rimm, V Velcheti… - Nature reviews Clinical …, 2019 - nature.com
In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

Artificial intelligence as the next step towards precision pathology

B Acs, M Rantalainen, J Hartman - Journal of internal medicine, 2020 - Wiley Online Library
Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic
diagnosis of cancer is increasing as personalized cancer therapy requires accurate …

Emerging role of deep learning‐based artificial intelligence in tumor pathology

Y Jiang, M Yang, S Wang, X Li… - Cancer communications, 2020 - Wiley Online Library
The development of digital pathology and progression of state‐of‐the‐art algorithms for
computer vision have led to increasing interest in the use of artificial intelligence (AI) …

Artificial intelligence in gynecologic cancers: Current status and future challenges–A systematic review

M Akazawa, K Hashimoto - Artificial Intelligence in Medicine, 2021 - Elsevier
Objective Over the past years, the application of artificial intelligence (AI) in medicine has
increased rapidly, especially in diagnostics, and in the near future, the role of AI in medicine …

[HTML][HTML] Artificial intelligence in pathology

HY Chang, CK Jung, JI Woo, S Lee… - … of pathology and …, 2019 - synapse.koreamed.org
As in other domains, artificial intelligence is becoming increasingly important in medicine. In
particular, deep learning-based pattern recognition methods can advance the field of …

Segmentation and classification of cervical cells using deep learning

KHS Allehaibi, LE Nugroho, L Lazuardi… - IEEE …, 2019 - ieeexplore.ieee.org
Cervical cancer is the fourth most prevalent disease in women. Accurate and timely cancer
detection can save lives. Automatic and reliable cervical cancer detection methods can be …

Automated detection and classification of cervical cancer using pap smear microscopic images: a comprehensive review and future perspectives

PB Shanthi, KS Hareesha, R Kudva - Engineered Science, 2022 - espublisher.com
Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …

Automatic classification of cervical cancer from cytological images by using convolutional neural network

M Wu, C Yan, H Liu, Q Liu, Y Yin - Bioscience reports, 2018 - portlandpress.com
Cervical cancer (CC) is one of the most common gynecologic malignancies in the world. The
incidence and mortality keep high in some remote and poor medical condition regions in …

Segmentation of ovarian cancer using active contour and random walker algorithm

PJ Ruchitha, YS Richitha, A Kodipalli… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Image Processing nowadays has been commonly used in different medical fields and
includes many types of techniques such as storage, communication, presentation …

[HTML][HTML] A weakly supervised deep learning method for guiding ovarian cancer treatment and identifying an effective biomarker

CW Wang, YC Lee, CC Chang, YJ Lin, YA Liou… - Cancers, 2022 - mdpi.com
Simple Summary Molecular target therapy, ie, antiangiogenesis with bevacizumab, was
found to be effective in some patients of epithelial ovarian cancer. Considering the cost …