Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

RO Alabi, O Youssef, M Pirinen, M Elmusrati… - Artificial intelligence in …, 2021 - Elsevier
Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …

Role of artificial intelligence in the early diagnosis of oral cancer. A scoping review

M García-Pola, E Pons-Fuster, C Suárez-Fernández… - Cancers, 2021 - mdpi.com
Simple Summary Oral cancer is characterized by high morbidity and mortality, since the
disease is typically in an advanced locoregional stage at the time of diagnosis. The …

[PDF][PDF] Oral cancer: current and future diagnostic techniques

C Scully, JV Bagan, C Hopper, JB Epstein - Am J Dent, 2008 - Citeseer
Oral cancer is among the 10 most common cancers worldwide, and is especially seen in
disadvantaged elderly males. Early detection and prompt treatment offer the best chance for …

Machine-learning applications in oral cancer: A systematic review

XA López-Cortés, F Matamala, B Venegas, C Rivera - Applied Sciences, 2022 - mdpi.com
Over the years, several machine-learning applications have been suggested to assist in
various clinical scenarios relevant to oral cancer. We offer a systematic review to identify …

Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier

B Zhang, W Huang, L Gong, J Li, C Zhao, C Liu… - Journal of Food …, 2015 - Elsevier
Automatic detection of defective apples by computer vision system is still not available due
to the uneven lightness distribution on the surface of apples and the similarity between the …

Optical spectroscopy for in vivo medical diagnosis—a review of the state of the art and future perspectives

JA Kim, DJ Wales, GZ Yang - Progress in Biomedical …, 2020 - iopscience.iop.org
When light is incident to a biological tissue surface, combinations of optical processes occur,
such as reflection, absorption, elastic and non-elastic scattering, and fluorescence. Analysis …

[图书][B] Vibrational spectroscopy for tissue analysis

I ur Rehman, Z Movasaghi, S Rehman - 2012 - books.google.com
A rapidly growing field, vibrational spectroscopy has found applications in industries
including pharmaceutical manufacture, food and drug safety, and process monitoring on …

Comparative study of relevance vector machine with various machine learning techniques used for detecting breast cancer

BM Gayathri, CP Sumathi - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Now-a-days breast cancer has become one of the leading cause of cancer death among
women. This cancer is caused mostly due to the lifestyle changes, avoiding breast feeding …

Automatic recognition of ripening tomatoes by combining multi-feature fusion with a bi-layer classification strategy for harvesting robots

J Wu, B Zhang, J Zhou, Y Xiong, B Gu, X Yang - Sensors, 2019 - mdpi.com
Automatic recognition of ripening tomatoes is a main hurdle precluding the replacement of
manual labour by robotic harvesting. In this paper, we present a novel automatic algorithm …

Accuracy of artificial intelligence-assisted detection of oral squamous cell carcinoma: a systematic review and meta-analysis

I Elmakaty, M Elmarasi, A Amarah, R Abdo… - Critical Reviews in …, 2022 - Elsevier
Abstract Oral Squamous Cell Carcinoma (OSCC) is an aggressive tumor with a poor
prognosis. Accurate and timely diagnosis is therefore essential for reducing the burden of …