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 review of explainable deep learning cancer detection models in medical imaging
Deep learning has demonstrated remarkable accuracy analyzing images for cancer
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing
Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems
With an estimated five million fatal cases each year, lung cancer is one of the significant
causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography …
causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography …
Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence
M Coccia - Technology in Society, 2020 - Elsevier
The goal of this study is to show emerging applications of deep learning technology in
cancer imaging. Deep learning technology is a family of computational methods that allow …
cancer imaging. Deep learning technology is a family of computational methods that allow …
An effective method for lung cancer diagnosis from ct scan using deep learning-based support vector network
Simple Summary This study provides an efficient method for lung cancer diagnosis from
computed tomography images and employs deep learning-supported support vector …
computed tomography images and employs deep learning-supported support vector …
A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
Multimodal multi-head convolutional attention with various kernel sizes for medical image super-resolution
Super-resolving medical images can help physicians in providing more accurate
diagnostics. In many situations, computed tomography (CT) or magnetic resonance imaging …
diagnostics. In many situations, computed tomography (CT) or magnetic resonance imaging …
A transfer learning approach with a convolutional neural network for the classification of lung carcinoma
Lung cancer is among the most hazardous types of cancer in humans. The correct diagnosis
of pathogenic lung disease is critical for medication. Traditionally, determining the …
of pathogenic lung disease is critical for medication. Traditionally, determining the …
A review on recent developments in cancer detection using Machine Learning and Deep Learning models
Cancer is a fatal illness frequently caused by a variety of obsessive changes and genetic
disorders. Cancer cells knowing as abnormal cells can grow in any part of the human body …
disorders. Cancer cells knowing as abnormal cells can grow in any part of the human body …