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 …
AI-based carcinoma detection and classification using histopathological images: A systematic review
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a
subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell …
subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell …
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets
M Toğaçar - Computers in Biology and Medicine, 2021 - Elsevier
Lung and colon cancers are deadly diseases that can develop simultaneously in organs and
adversely affect human life in some special cases. Although the frequency of simultaneous …
adversely affect human life in some special cases. Although the frequency of simultaneous …
Lung and colon cancer classification using medical imaging: A feature engineering approach
A Hage Chehade, N Abdallah, JM Marion… - … Engineering Sciences in …, 2022 - Springer
Lung and colon cancers lead to a significant portion of deaths. Their simultaneous
occurrence is uncommon, however, in the absence of early diagnosis, the metastasis of …
occurrence is uncommon, however, in the absence of early diagnosis, the metastasis of …
BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification
The convolutional neural network showed considerable success in medical imaging with
explainable AI for cancer detection and recognition. However, the irrelevant and large …
explainable AI for cancer detection and recognition. However, the irrelevant and large …
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 …
[HTML][HTML] Multi-input dual-stream capsule network for improved lung and colon cancer classification
Lung and colon cancers are two of the most common causes of death and morbidity in
humans. One of the most important aspects of appropriate treatment is the histopathological …
humans. One of the most important aspects of appropriate treatment is the histopathological …
[HTML][HTML] An efficient combination of convolutional neural network and LightGBM algorithm for lung cancer histopathology classification
The most dangerous disease in recent decades is lung cancer. The most accurate method of
cancer diagnosis, according to research, is through the use of histopathological images that …
cancer diagnosis, according to research, is through the use of histopathological images that …
Deep multi-magnification similarity learning for histopathological image classification
S Diao, W Luo, J Hou, R Lambo… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Precise classification of histopathological images is crucial to computer-aided diagnosis in
clinical practice. Magnification-based learning networks have attracted considerable …
clinical practice. Magnification-based learning networks have attracted considerable …
[HTML][HTML] Cat swarm optimization-based computer-aided diagnosis model for lung cancer classification in computed tomography images
Lung cancer is the most significant cancer that heavily contributes to cancer-related mortality
rate, due to its violent nature and late diagnosis at advanced stages. Early identification of …
rate, due to its violent nature and late diagnosis at advanced stages. Early identification of …