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 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 …
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 …
Transfer learning for histopathology images: an empirical study
Histopathology imaging is one of the key methods used to determine the presence of
cancerous cells. However, determining the results from such medical images is a tedious …
cancerous cells. However, determining the results from such medical images is a tedious …
Fhist: A benchmark for few-shot classification of histological images
Few-shot learning has recently attracted wide interest in image classification, but almost all
the current public benchmarks are focused on natural images. The few-shot paradigm is …
the current public benchmarks are focused on natural images. The few-shot paradigm is …
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 …
A fundamental overview of ensemble deep learning models and applications: systematic literature and state of the art
The increasing popularity of deep learning (DL) leads to new applications and possibilities,
the fast advancement of techniques, and the development of new domains by combining …
the fast advancement of techniques, and the development of new domains by combining …
Lung and colon cancer detection using weighted average ensemble transfer learning
LT Omar, JM Hussein, LF Omer… - … symposium on digital …, 2023 - ieeexplore.ieee.org
Cancer is a deadly disease that is caused by metabolic abnormalities or a confluence of
inherited diseases. Lung and colon cancer are considered as two of the most widely spread …
inherited diseases. Lung and colon cancer are considered as two of the most widely spread …
Histopathological carcinoma classification using parallel, cross‐concatenated and grouped convolutions deep neural network
R Kadirappa, D Subbian… - International Journal of …, 2023 - Wiley Online Library
Cancer is more alarming in modern days due to its identification at later stages. Among
cancers, lung, liver and colon cancers are the leading cause of untimely death. Manual …
cancers, lung, liver and colon cancers are the leading cause of untimely death. Manual …
Breaking Barriers in Cancer Diagnosis: Super‐Light Compact Convolution Transformer for Colon and Lung Cancer Detection
ABSTRACT According to the World Health Organization, lung and colon cancers are known
for their high mortality rates which necessitate the diagnosis of these cancers at an early …
for their high mortality rates which necessitate the diagnosis of these cancers at an early …