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 …
Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches
VD Ramaswamy, M Keidar - Applied Sciences, 2023 - mdpi.com
Featured Application Complexity, heterogeneity, and treatment resistance of cancers create
challenges in achieving successful treatment outcomes. Personalized cold atmospheric …
challenges in achieving successful treatment outcomes. Personalized cold atmospheric …
Biomedical image analysis for colon and lung cancer detection using tuna swarm algorithm with deep learning model
The domain of Artificial Intelligence (AI) is made important strides recently, leading to
developments in several domains comprising biomedical diagnostics and research. The …
developments in several domains comprising biomedical diagnostics and research. The …
An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration
To effectively treat lung and colon cancer and save lives, early and accurate identification is
essential. Conventional diagnosis takes a long time and requires the manual expertise of …
essential. Conventional diagnosis takes a long time and requires the manual expertise of …
Al-biruni Earth radius optimization with transfer learning based histopathological image analysis for lung and colon cancer detection
R AlGhamdi, TO Asar, FY Assiri, RA Mansouri… - Cancers, 2023 - mdpi.com
Simple Summary Histopathological image analysis can be used for the detection of lung and
colon cancer by the investigation of microscopic images of tissue samples. Since manual …
colon cancer by the investigation of microscopic images of tissue samples. Since manual …
Lung and colon cancer classification using efficientnet b3 transfer learning model
Lung and colon cancers are among the most common kinds of cancer in the globe. Lung
cancer affects the respiratory system, while colon cancer impacts the digestive system. Both …
cancer affects the respiratory system, while colon cancer impacts the digestive system. Both …
An Advanced Lung Carcinoma Prediction and Risk Screening Model Using Transfer Learning
Lung cancer, also known as lung carcinoma, has a high death rate, but an early diagnosis
can substantially reduce this risk. In the current era, prediction models face challenges such …
can substantially reduce this risk. In the current era, prediction models face challenges such …
A Novel Deep Learning Approach for Accurate Cancer Type and Subtype Identification
Cancer is a disease where abnormal cells grow uncontrollably and spread to other body
parts. It can originate anywhere in the human body, which consists of trillions of cells. These …
parts. It can originate anywhere in the human body, which consists of trillions of cells. These …
Improved Water Strider Algorithm With Convolutional Autoencoder for Lung and Colon Cancer Detection on Histopathological Images
Lung and colon cancers are deadly diseases that can develop concurrently in organs and
undesirably affect human life in some special cases. The detection of these cancers from …
undesirably affect human life in some special cases. The detection of these cancers from …
Automatic lung cancer detection and classification using Modified Golf Optimization with densenet classifier
One of the most common diseases in recent years has been lung cancer. In the US, around
200,000 new instances are reported annually, based on studies in this area. Malignant …
200,000 new instances are reported annually, based on studies in this area. Malignant …