[HTML][HTML] Deep learning-based computational cytopathologic diagnosis of metastatic breast carcinoma in pleural fluid

HS Park, Y Chong, Y Lee, K Yim, KJ Seo, G Hwang… - Cells, 2023 - mdpi.com
A Pleural effusion cytology is vital for treating metastatic breast cancer; however, concerns
have arisen regarding the low accuracy and inter-observer variability in cytologic diagnosis …

[HTML][HTML] Deep convolutional neural network-based classification of cancer cells on cytological pleural effusion images

X Xie, CC Fu, L Lv, Q Ye, Y Yu, Q Fang, L Zhang… - Modern …, 2022 - nature.com
Lung cancer is one of the leading causes of cancer-related death worldwide. Cytology plays
an important role in the initial evaluation and diagnosis of patients with lung cancer …

[HTML][HTML] Development and validation of a deep learning system for ascites cytopathology interpretation

F Su, Y Sun, Y Hu, P Yuan, X Wang, Q Wang, J Li, JF Ji - Gastric Cancer, 2020 - Springer
Abstract Background Early diagnosis of Peritoneal metastasis (PM) is clinically significant
regarding optimal treatment selection and avoidance of unnecessary surgical procedures …

[HTML][HTML] Driverless artificial intelligence framework for the identification of malignant pleural effusion

Y Li, S Tian, Y Huang, W Dong - Translational Oncology, 2021 - Elsevier
Our study aimed to explore the applicability of deep learning and machine learning
techniques to distinguish MPE from BPE. We initially used a retrospective cohort with 726 …

[HTML][HTML] Histopathological image diagnosis for breast cancer diagnosis based on deep mutual learning

A Kaur, C Kaushal, JK Sandhu, R Damaševičius… - Diagnostics, 2023 - mdpi.com
Every year, millions of women across the globe are diagnosed with breast cancer (BC), an
illness that is both common and potentially fatal. To provide effective therapy and enhance …

Axillary lymph node metastasis prediction by contrast-enhanced computed tomography images for breast cancer patients based on deep learning

Z Liu, S Ni, C Yang, W Sun, D Huang, H Su… - Computers in Biology …, 2021 - Elsevier
When doctors use contrast-enhanced computed tomography (CECT) images to predict the
metastasis of axillary lymph nodes (ALN) for breast cancer patients, the prediction …

3PCNNB-net: Three parallel CNN branches for breast cancer classification through histopathological images

AM Ibraheem, KH Rahouma, HFA Hamed - Journal of Medical and …, 2021 - Springer
Purpose Diagnosis of breast tumors using histopathological imaging is considered a difficult
task. Oncologists may have different opinions on how to use this imaging technique to …

[HTML][HTML] DeepLRHE: a deep convolutional neural network framework to evaluate the risk of lung cancer recurrence and metastasis from histopathology images

Z Wu, L Wang, C Li, Y Cai, Y Liang, X Mo, Q Lu… - Frontiers in …, 2020 - frontiersin.org
It is critical for patients who cannot undergo eradicable surgery to predict the risk of lung
cancer recurrence and metastasis; therefore, the physicians can design the appropriate …

[HTML][HTML] Application of deep learning to construct breast cancer diagnosis model

RH Lin, BK Kujabi, CL Chuang, CS Lin, CJ Chiu - Applied Sciences, 2022 - mdpi.com
(1) Background: According to Taiwan's ministry of health statistics, the rate of breast cancer
in women is increasing annually. Each year, more than 10,000 women suffer from breast …

[HTML][HTML] A comprehensive survey on deep-learning-based breast cancer diagnosis

MF Mridha, MA Hamid, MM Monowar, AJ Keya, AQ Ohi… - Cancers, 2021 - mdpi.com
Simple Summary Breast cancer was diagnosed in 2.3 million women, and around 685,000
deaths from breast cancer were recorded globally in 2020, making it the most common …