Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review
Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …
worldwide. Microscopic examination of histological and cytological lung specimens can be a …
Artificial intelligence in lung cancer pathology image analysis
Objective: Accurate diagnosis and prognosis are essential in lung cancer treatment
selection and planning. With the rapid advance of medical imaging technology, whole slide …
selection and planning. With the rapid advance of medical imaging technology, whole slide …
Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study
H Yang, L Chen, Z Cheng, M Yang, J Wang, C Lin… - BMC medicine, 2021 - Springer
Background Targeted therapy and immunotherapy put forward higher demands for accurate
lung cancer classification, as well as benign versus malignant disease discrimination. Digital …
lung cancer classification, as well as benign versus malignant disease discrimination. Digital …
Deep learning techniques to diagnose lung cancer
L Wang - Cancers, 2022 - mdpi.com
Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …
research directions of deep learning techniques for lung cancer and pulmonary nodule …
A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images
F Kanavati, G Toyokawa, S Momosaki, H Takeoka… - Scientific reports, 2021 - nature.com
The differentiation between major histological types of lung cancer, such as
adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small-cell lung cancer …
adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small-cell lung cancer …
A review of deep learning techniques for lung cancer screening and diagnosis based on CT images
One of the most common and deadly diseases in the world is lung cancer. Only early
identification of lung cancer can increase a patient's probability of survival. A frequently used …
identification of lung cancer can increase a patient's probability of survival. A frequently used …
Deep learning applications for lung cancer diagnosis: a systematic review
Lung cancer has been one of the most prevalent disease in recent years. According to the
research of this field, more than 200,000 cases are identified each year in the US …
research of this field, more than 200,000 cases are identified each year in the US …
Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification
INTRODUCTION: In the field of medical imaging, accurate categorization of lung tissue is
essential for timely diagnosis and management of lung-related conditions, including cancer …
essential for timely diagnosis and management of lung-related conditions, including cancer …
An extensive review on lung cancer diagnosis using machine learning techniques on radiological data: state-of-the-art and perspectives
Cancer of the lung is a killer illness that often results from a combination of genetic
disposition and many clinical changes. The lung region of the body contains cancerous cells …
disposition and many clinical changes. The lung region of the body contains cancerous cells …
Standardized classification of lung adenocarcinoma subtypes and improvement of grading assessment through deep learning
The histopathologic distinction of lung adenocarcinoma (LADC) subtypes is subject to high
interobserver variability, which can compromise the optimal assessment of patient …
interobserver variability, which can compromise the optimal assessment of patient …