Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Artificial intelligence: the milestone in modern biomedical research
K Athanasopoulou, GN Daneva, PG Adamopoulos… - …, 2022 - mdpi.com
In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …
complexity of the human genome and proteome has led to the generation of an increasing …
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 …
Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis
Y Su, X Tian, R Gao, W Guo, C Chen, C Chen… - Computers in biology …, 2022 - Elsevier
Advanced metastasis of colon cancer makes it more difficult to treat colon cancer. Finding
the markers of colon cancer (Colon Cancer) can diagnose the stage of cancer in time and …
the markers of colon cancer (Colon Cancer) can diagnose the stage of cancer in time and …
A deep ensemble learning method for colorectal polyp classification with optimized network parameters
Colorectal Cancer (CRC), a leading cause of cancer-related deaths, can be abated by timely
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …
polypectomy. Computer-aided classification of polyps helps endoscopists to resect timely …
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 …
The role of deep learning in diagnosing colorectal cancer
Colon cancer is a major public health issue, affecting a growing number of individuals
worldwide. Proper and early diagnosis of colon cancer is the necessary first step toward …
worldwide. Proper and early diagnosis of colon cancer is the necessary first step toward …
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
Real-time polyp detection model using convolutional neural networks
A Nogueira-Rodríguez… - Neural Computing and …, 2022 - Springer
Colorectal cancer is a major health problem, where advances towards computer-aided
diagnosis (CAD) systems to assist the endoscopist can be a promising path to improvement …
diagnosis (CAD) systems to assist the endoscopist can be a promising path to improvement …
Deep learning predictive model for colon cancer patient using CNN-based classification
Z Tasnim, S Chakraborty… - International …, 2021 - researchers.cdu.edu.au
In recent years, the area of Medicine and Healthcare has made significant advances with the
assistance of computational technology. During this time, new diagnostic techniques were …
assistance of computational technology. During this time, new diagnostic techniques were …