AIMC Topic: Colorimetry
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Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Mar 22, 2015
BACKGROUND/PURPOSE: Early detection of malignant melanoma is an important public health challenge. In the USA, dermatologists are seeing more melanomas at an early stage, before classic melanoma features have become apparent. Pink color is a feature ...
Four-class classification of skin lesions with task decomposition strategy.
IEEE transactions on bio-medical engineering
Aug 15, 2014
This paper proposes a new computer-aided method for the skin lesion classification applicable to both melanocytic skin lesions (MSLs) and nonmelanocytic skin lesions (NoMSLs). The computer-aided skin lesion classification has drawn attention as an ai...
Joint sparse coding based spatial pyramid matching for classification of color medical image.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jun 8, 2014
Although color medical images are important in clinical practice, they are usually converted to grayscale for further processing in pattern recognition, resulting in loss of rich color information. The sparse coding based linear spatial pyramid match...
Portable and intelligent ratio fluorometry and colorimetry for dual-mode detection of dopamine based on B, N-codoped carbon dots and machine learning.
Talanta
Nov 1, 2025
A dual-mode approach was developed for dopamine (DA) assay based on boron (B) and nitrogen (N) co-doped carbon dots (B, N-CDs). This platform enabled highly sensitive and specific detection of DA in biological samples through collaborative ratio fluo...
Deep learning-assisted self-cleaning cellulose colorimetric sensor array for monitoring black tea withering dynamics.
Food chemistry
Sep 30, 2025
The withering process is a critical stage in developing the aroma profile of black tea. In this study, we presented an eco-friendly cellulose film-based colorimetric sensor array (CSA) for detecting volatile organic compounds (VOCs) and assessing wit...
A nanozyme colorimetric sensor combined with cloud-based machine learning algorithm-assisted WeChat mini program for intelligent identification of Chinese green tea.
Food research international (Ottawa, Ont.)
Aug 1, 2025
Green tea has become increasingly renowned among consumers by virtue of its exceptional flavor and high nutritional value. There is often a strong correlation between the varieties of green tea, quality and corresponding price. In this work, a simple...
Label-free urinary protein detection through machine learning analysis of single droplet evaporation patterns.
Analytica chimica acta
Jun 22, 2025
BACKGROUND: Chronic kidney disease (CKD) is a major global public health issue, with a steadily increasing incidence. Urinary protein detection serves as a crucial indicator for the diagnosis, monitoring and management of CKD. However, current method...
Artificial intelligence enhanced microfluidic system for multiplexed point-of-care-testing of biological thiols.
Talanta
May 15, 2025
Cysteamine (CA) serves as a cystine-depleting agent employed in the management of cystinosis and a range of other medical conditions. Monitoring blood CA levels at the point of care is imperative due to the risk of toxicity associated with elevated C...
Colorimetric Sensor Reading and Illumination Correction via Multi-Task Deep-Learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Colorimetric sensors represent an accessible and sensitive nanotechnology for rapid and accessible measurement of a substance's properties (e.g., analyte concentration) via color changes. Although colorimetric sensors are widely used in healthcare an...
[Colorimetric detection of trace mercury in mineral water via cloud-pointextraction coupled with gold nanoparticle probe].
Wei sheng yan jiu = Journal of hygiene research
Jul 1, 2017
OBJECTIVE: To developed a method for rapid visual and colorimetric detection of trace high toxicity element mercury( Hg~(2+)) in natural mineral water via coupling cloud-point extraction with gold nanoparticle probe.
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