[HTML][HTML] Deep learning-based computational cytopathologic diagnosis of metastatic breast carcinoma in pleural fluid
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 …
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 …
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
Abstract Background Early diagnosis of Peritoneal metastasis (PM) is clinically significant
regarding optimal treatment selection and avoidance of unnecessary surgical procedures …
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
deaths from breast cancer were recorded globally in 2020, making it the most common …