Transfer learning techniques for medical image analysis: A review

P Kora, CP Ooi, O Faust, U Raghavendra… - Biocybernetics and …, 2022 - Elsevier
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 …

Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective

M Sufyan, Z Shokat, UA Ashfaq - Computers in Biology and Medicine, 2023 - Elsevier
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 …

A systematic review of artificial intelligence techniques in cancer prediction and diagnosis

Y Kumar, S Gupta, R Singla, YC Hu - Archives of Computational Methods …, 2022 - Springer
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 …

Real-time polyp detection, localization and segmentation in colonoscopy using deep learning

D Jha, S Ali, NK Tomar, HD Johansen… - Ieee …, 2021 - ieeexplore.ieee.org
Computer-aided detection, localization, and segmentation methods can help improve
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

RA Welikala, P Remagnino, JH Lim, CS Chan… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

A comprehensive review of deep learning in colon cancer

I Pacal, D Karaboga, A Basturk, B Akay… - Computers in Biology …, 2020 - Elsevier
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 …

An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets

I Pacal, A Karaman, D Karaboga, B Akay… - Computers in biology …, 2022 - Elsevier
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 …

A robust real-time deep learning based automatic polyp detection system

I Pacal, D Karaboga - Computers in Biology and Medicine, 2021 - Elsevier
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 …

[HTML][HTML] Deep learning to find colorectal polyps in colonoscopy: A systematic literature review

LF Sánchez-Peralta, L Bote-Curiel, A Picón… - Artificial intelligence in …, 2020 - Elsevier
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 …

[HTML][HTML] Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat… - Medical image …, 2021 - Elsevier
Abstract The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative
to address eminent problems in develo** reliable computer aided detection and diagnosis …