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 …
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 …
A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework
The field of Medicine and Healthcare has attained revolutionary advancements in the last
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
UKSSL: underlying knowledge based semi-supervised learning for medical image classification
Goal: Deep learning techniques have made significant progress in medical image analysis.
However, obtaining ground truth labels for unlabeled medical images is challenging as they …
However, obtaining ground truth labels for unlabeled medical images is challenging as they …
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 …
Secure IoMT for disease prediction empowered with transfer learning in healthcare 5.0, the concept and case study
Identifying human diseases remains a difficult process, even in the age of advanced
information technology and the smart healthcare industry 5.0. In the smart healthcare …
information technology and the smart healthcare industry 5.0. In the smart healthcare …
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 …
Crccn-net: Automated framework for classification of colorectal tissue using histopathological images
Colorectal cancer has a high mortality rate that continuously affects human life globally.
Early detection of it extends human life and helps in preventing disease. Histopathological …
Early detection of it extends human life and helps in preventing disease. Histopathological …
Application of machine learning in healthcare and medicine: A review
This extensive literature review investigates the integration of Machine Learning (ML) into
the healthcare sector, uncovering its potential, challenges, and strategic resolutions. The …
the healthcare sector, uncovering its potential, challenges, and strategic resolutions. The …
LCDAE: data augmented ensemble framework for lung cancer classification
Objective: The only possible solution to increase the patients' fatality rate is lung cancer
early-stage detection. Recently, deep learning techniques became the most promising …
early-stage detection. Recently, deep learning techniques became the most promising …