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 …
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 …
HRDEL: High ranking deep ensemble learning-based lung cancer diagnosis model
Among all the diseases in human beings, lung cancer is known as the most hazardous
disease that often leads to death rather than other cancer ailments. Lung cancer is …
disease that often leads to death rather than other cancer ailments. Lung cancer is …
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 …
Appositeness of optimized and reliable machine learning for healthcare: a survey
Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(AI) under the Computer Science domain wherein programmable machines imitate human …
(AI) under the Computer Science domain wherein programmable machines imitate human …
Serum Raman spectroscopy combined with convolutional neural network for rapid diagnosis of HER2-positive and triple-negative breast cancer
Breast cancer is common in women, and its number of patients ranks first among female
malignant tumors. Breast cancer is highly heterogeneous, and different types of breast …
malignant tumors. Breast cancer is highly heterogeneous, and different types of breast …
Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey
Lung cancer represents a significant global health challenge, transcending demographic
boundaries of age, gender, and ethnicity. Timely detection stands as a pivotal factor for …
boundaries of age, gender, and ethnicity. Timely detection stands as a pivotal factor for …
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
The use of a convolutional neural network with transfer learning is a strategy that defines
high-level features, commonly explored to study patterns in medical images. These features …
high-level features, commonly explored to study patterns in medical images. These features …
DBAN: An improved dual branch attention network combined with serum Raman spectroscopy for diagnosis of diabetic kidney disease
Diabetic kidney disease (DKD) is one of the most common kidney diseases worldwide. It is
estimated that approximately 537 million adults worldwide have diabetes, and up to 30 …
estimated that approximately 537 million adults worldwide have diabetes, and up to 30 …