Classification of Colon and Lung Cancer Through Analysis of Histopathology Images Using Deep Learning Models.
In the last four decades, medicine and healthcare have made revolutionary advances.
During this time, the true causes of many diseases were discovered and new diagnostic …
During this time, the true causes of many diseases were discovered and new diagnostic …
Diagnosis of lung and colon cancer based on clinical pathology images using convolutional neural network and CLAHE framework
Cancer is a non-contagious disease that is the leading cause of death globally. The most
common types of cancer with high mortality are lung and colon cancer. One of the efforts to …
common types of cancer with high mortality are lung and colon cancer. One of the efforts to …
Artificial intelligence for detection of lung cancer using transfer learning and morphological features
N Muhtasim, U Hany, T Islam, N Nawreen… - The Journal of …, 2024 - Springer
Lung cancer is an uncontrolled growth of tissue causing a lump in the human lung. If lung
cancer can be detected early, it can increase the survival rate. Therefore, a multi …
cancer can be detected early, it can increase the survival rate. Therefore, a multi …
Feature ranking importance from multimodal radiomic texture features using machine learning paradigm: A biomarker to predict the lung cancer
The machine learning based techniques for detection of lungs cancer can assist the
clinicians in assessing the risk of pulmonary nodules being malignant. We are developing …
clinicians in assessing the risk of pulmonary nodules being malignant. We are developing …
Texture-based deep learning for effective histopathological cancer image classification
NZ Tsaku, SC Kosaraju, T Aqila… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Automatic histopathological Whole Slide Image (WSI) analysis for cancer classification has
been highlighted along with the advancements in microscopic imaging techniques, since …
been highlighted along with the advancements in microscopic imaging techniques, since …
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 …
An efficient deep neural network for classification in esophageal cancer histopathological images (CNN+ LSTM)
J Ge, Y Xie, D Wang - Tenth international conference on …, 2019 - spiedigitallibrary.org
Esophageal cancer is one of the leading causes of mortality worldwide. Early diagnostics
are imperative of improving the chances of correct treatment and survival. Pathology …
are imperative of improving the chances of correct treatment and survival. Pathology …
Convolution neural networks for diagnosing colon and lung cancer histopathological images
S Mangal, A Chaurasia, A Khajanchi - arXiv preprint arXiv:2009.03878, 2020 - arxiv.org
Lung and Colon cancer are one of the leading causes of mortality and morbidity in adults.
Histopathological diagnosis is one of the key components to discern cancer type. The aim of …
Histopathological diagnosis is one of the key components to discern cancer type. The aim of …
Unsupervised feature extraction via deep learning for histopathological classification of colon tissue images
CT Sari, C Gunduz-Demir - IEEE transactions on medical …, 2018 - ieeexplore.ieee.org
Histopathological examination is today's gold standard for cancer diagnosis. However, this
task is time consuming and prone to errors as it requires a detailed visual inspection and …
task is time consuming and prone to errors as it requires a detailed visual inspection and …
[PDF][PDF] Original Research Article Hybrid approach for lung cancer detection based on deep learning/machine learning
ABSTRACT The incidence of Lung Cancer (LC) is rising in India. LC has been diagnosed
and detected numerous times utilizing numerous data processing and identification …
and detected numerous times utilizing numerous data processing and identification …