Recent advancements in deep learning based lung cancer detection: A systematic review
Cancer is considered to be a key cause of substantial fatality and morbidity in the world. A
report from the International Agency for Research on Cancer (IARC) states that 27 million …
report from the International Agency for Research on Cancer (IARC) states that 27 million …
Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images
According to a 2020 WHO report, cancer is one of the main causes of deaths worldwide.
Among these deaths, lung and colon cancer collectively responsible for nearly 2.735 million …
Among these deaths, lung and colon cancer collectively responsible for nearly 2.735 million …
[HTML][HTML] The Xception model: A potential feature extractor in breast cancer histology images classification
Computer-assisted pathology analysis is an emerging field in health informatics and
extremely important for effective treatment. Herein, we demonstrated the ability of the pre …
extremely important for effective treatment. Herein, we demonstrated the ability of the pre …
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 …
[Retracted] Lung Cancer Prediction from Text Datasets Using Machine Learning
Lung cancer is the major cause of cancer‐related death in this generation, and it is expected
to remain so for the foreseeable future. It is feasible to treat lung cancer if the symptoms of …
to remain so for the foreseeable future. It is feasible to treat lung cancer if the symptoms of …
Ensemble Federated learning approach for diagnostics of multi-order lung cancer
U Subashchandrabose, R John, UV Anbazhagu… - Diagnostics, 2023 - mdpi.com
The early detection and classification of lung cancer is crucial for improving a patient's
outcome. However, the traditional classification methods are based on single machine …
outcome. However, the traditional classification methods are based on single machine …
Detection and classification of lung cancer computed tomography images using a novel improved deep belief network with Gabor filters
EA Siddiqui, V Chaurasia, M Shandilya - Chemometrics and Intelligent …, 2023 - Elsevier
The computer-aided diagnosis (CAD) method plays a considerable role in the automated
recognition of medical images, considering the increasing numbers of lung cancer patients …
recognition of medical images, considering the increasing numbers of lung cancer patients …
Deep learning and natural language processing in computation for offensive language detection in online social networks by feature selection and ensemble …
Offensive communications have made their way into social media posts. Using
computational algorithms to distinguish objectionable content is one of the most effective …
computational algorithms to distinguish objectionable content is one of the most effective …
Optimizing gene selection and cancer classification with hybrid sine cosine and cuckoo search algorithm
Gene expression datasets offer a wide range of information about various biological
processes. However, it is difficult to find the important genes among the high-dimensional …
processes. However, it is difficult to find the important genes among the high-dimensional …