Automated classification of lung cancer types from cytological images using deep convolutional neural networks

A Teramoto, T Tsukamoto, Y Kiriyama… - BioMed research …, 2017 - Wiley Online Library
… of cancer types using microscopic images for cytology. … been applied to cytological images
for lung cancer classification. … scheme for lung cancers in microscopic images using a DCNN. …

Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review

A Davri, E Birbas, T Kanavos, G Ntritsos, N Giannakeas… - Cancers, 2023 - mdpi.com
… Microscopic examination of histological and cytological lung … in Pathology and can guide
lung cancer diagnosis, subtyping, … on lung cancer by using histological and cytological images. …

[HTML][HTML] Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network

A Teramoto, A Yamada, Y Kiriyama… - Informatics in Medicine …, 2019 - Elsevier
lung cells in cytological images, as we have previously proposed the automated method for
classification of lung cancer typescytological images into adenocarcinoma, squamous cell …

Cytological characteristics of histological types of lung cancer by cytomorphometric and flow cytometric analyses using liquid‐based cytology materials

R Tanaka, M Fujiwara, N Sakamoto… - Diagnostic …, 2023 - Wiley Online Library
… With respect to clinicopathological characteristics in this study, CT imaging for SQCC, NEC,
and PLC consistently showed “solid” masses, and SUVmax values for SQCC and NEC were …

[HTML][HTML] Comparison of fine-tuned deep convolutional neural networks for the automated classification of lung cancer cytology images with integration of additional …

T Tsukamoto, A Teramoto, A Yamada… - … Journal of Cancer …, 2022 - ncbi.nlm.nih.gov
… However, the cell morphology of these three types of cancer cells varies. Here … cancer types
using cytological images. Among the four major types of carcinoma, the large cell carcinoma

Automatic classification of ovarian cancer types from cytological images using deep convolutional neural networks

M Wu, C Yan, H Liu, Q Liu - Bioscience reports, 2018 - portlandpress.com
… [14] developed an automated classification scheme for lung cancers presented in
microscopic images using DCNN. Gao et al. [15] proposed an automatic framework for human …

Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative …

A Teramoto, T Tsukamoto, A Yamada, Y Kiriyama… - PloS one, 2020 - journals.plos.org
… to provide detailed lung cancer diagnoses, it has become possible to identify tissue types
and … In the pathology-based diagnosis of lung cancer, cytology is first performed using cells …

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 cytological images through a deep convolutional neural network (DCNN). A total of 404
cases of lung cancer cells in effusion cytologylung cancer are diagnosed cytologically with …

Automated classification method of lung tumor type using cytological image and clinical record

A Yamada, A Teramoto, Y Kiriyama… - … Advanced Imaging …, 2020 - spiedigitallibrary.org
… In this study, we focus on liquid-based cytology images and … accuracy of lung cancer type
by combining cytological images and … of lung tumor type by combining cytological images and …

[HTML][HTML] Deep learning-based diagnosis of lung cancer using a nationwide respiratory cytology image set: improving accuracy and inter-observer variability

T Kim, H Chang, B Kim, J Yang, D Koo… - … Journal of Cancer …, 2023 - ncbi.nlm.nih.gov
lung cancer diagnosis accuracy using cytological images from the respiratory tract. This
retrospective, multicenter study used digital cytology images of … The image processing involves …