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Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …
A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …
of open-source healthcare statistics has prompted researchers to create applications that aid …
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …
colonoscopy procedures. Even though many methods have been built to tackle automatic …
Automated detection and classification of oral lesions using deep learning for early detection of oral cancer
Oral cancer is a major global health issue accounting for 177,384 deaths in 2018 and it is
most prevalent in low-and middle-income countries. Enabling automation in the …
most prevalent in low-and middle-income countries. Enabling automation in the …
A comprehensive review of deep learning in colon cancer
Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …
attracted attention with its achievements in progressing medical image analysis …
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
Colorectal cancer (CRC) is one of the common types of cancer with a high mortality rate.
Colonoscopy is the gold standard for CRC screening and significantly reduces CRC …
Colonoscopy is the gold standard for CRC screening and significantly reduces CRC …
A robust real-time deep learning based automatic polyp detection system
Colorectal cancer (CRC) is globally the third most common type of cancer. Colonoscopy is
considered the gold standard in colorectal cancer screening and allows for the removal of …
considered the gold standard in colorectal cancer screening and allows for the removal of …
[HTML][HTML] Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Colorectal cancer has a great incidence rate worldwide, but its early detection significantly
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and …
[HTML][HTML] Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Abstract The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative
to address eminent problems in develo** reliable computer aided detection and diagnosis …
to address eminent problems in develo** reliable computer aided detection and diagnosis …