Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
Lung diseases detection using various deep learning algorithms
M Jasmine Pemeena Priyadarsini… - Journal of healthcare …, 2023 - Wiley Online Library
The primary objective of this proposed framework work is to detect and classify various lung
diseases such as pneumonia, tuberculosis, and lung cancer from standard X‐ray images …
diseases such as pneumonia, tuberculosis, and lung cancer from standard X‐ray images …
Automated lung nodule detection and classification using deep learning combined with multiple strategies
Lung cancer is one of the major causes of cancer-related deaths due to its aggressive
nature and delayed detections at advanced stages. Early detection of lung cancer is very …
nature and delayed detections at advanced stages. Early detection of lung cancer is very …
Deep learning for lung Cancer detection and classification
A Asuntha, A Srinivasan - Multimedia Tools and Applications, 2020 - Springer
Lung cancer is one of the main reasons for death in the world among both men and women,
with an impressive rate of about five million deadly cases per year. Computed Tomography …
with an impressive rate of about five million deadly cases per year. Computed Tomography …
An approach to classify lung and colon cancer of histopathology images using deep feature extraction and an ensemble method
Cancer is a deadly condition brought on by a range of metabolic anomalies and genetic
disorders. Lung and colon cancer in particular is among the leading causes of death and …
disorders. Lung and colon cancer in particular is among the leading causes of death and …
Automated detection and classification for early stage lung cancer on CT images using deep learning
J Sang, MS Alam, H Xiang - Pattern recognition and tracking …, 2019 - spiedigitallibrary.org
Since accurate early detection of malignant lung nodule can greatly enhance the survival of
the patient, detection of early stage lung cancer with chest computed tomography (CT) scans …
the patient, detection of early stage lung cancer with chest computed tomography (CT) scans …
Lung cancer detection and classification based on alexnet CNN
A Agarwal, K Patni, D Rajeswari - 2021 6th international …, 2021 - ieeexplore.ieee.org
Lung cancer is among the most fatal disease in developed countries, and early diagnosis of
the disease is difficult. Lung cancer diagnosis and treatment has been one of the most …
the disease is difficult. Lung cancer diagnosis and treatment has been one of the most …
A deep model for lung cancer type identification by densely connected convolutional networks and adaptive boosting
S Pang, Y Zhang, M Ding, X Wang, X Xie - IEEE Access, 2019 - ieeexplore.ieee.org
Timely diagnosis and determination to the type of lung cancer has important clinical
significance. Generally, it requires multiple imaging methods to complement each other to …
significance. Generally, it requires multiple imaging methods to complement each other to …
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 …
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 …