Emerging point-of-care technologies for anemia detection

R An, Y Huang, Y Man, RW Valentine, E Kucukal… - Lab on a Chip, 2021 - pubs.rsc.org
Anemia, characterized by low blood hemoglobin level, affects about 25% of the world's
population with the heaviest burden borne by women and children. Anemia leads to …

[HTML][HTML] An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset

G Dimauro, ME Griseta, MG Camporeale… - Artificial Intelligence in …, 2023 - Elsevier
Anemia is a condition in which the oxygen-carrying capacity of red blood cells is insufficient
to meet the body's physiological needs. It affects billions of people worldwide. An early …

[HTML][HTML] Noninvasive hemoglobin level prediction in a mobile phone environment: State of the art review and recommendations

MK Hasan, MH Aziz, MII Zarif, M Hasan… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background There is worldwide demand for an affordable hemoglobin measurement
solution, which is a particularly urgent need in developing countries. The smartphone, which …

Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey

N Altini, B Prencipe, GD Cascarano, A Brunetti… - Neurocomputing, 2022 - Elsevier
Deep Learning approaches for automatic segmentation of organs from CT scans and MRI
are providing promising results, leading towards a revolution in the radiologists' workflow …

Iron deficiency anemia detection using machine learning models: A comparative study of fingernails, palm and conjunctiva of the eye images

JW Asare, P Appiahene, ET Donkoh… - Engineering …, 2023 - Wiley Online Library
Anemia is one of the global public health challenges that particularly affect children and
pregnant women. A study by WHO indicates that 42% of children below the age of 6 and …

A new method and a non-invasive device to estimate anemia based on digital images of the conjunctiva

G Dimauro, D Caivano, F Girardi - Ieee Access, 2018 - ieeexplore.ieee.org
Medical practice for determining haemoglobin (Hb) concentration, which is important for
anemic patients in need of blood transfusion, requires a blood sample. In this paper, we …

[HTML][HTML] A non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemia

SM Sarsam, H Al-Samarraie, AI Alzahrani… - Artificial Intelligence in …, 2022 - Elsevier
Social media sites, such as Twitter, provide the means for users to share their stories,
feelings, and health conditions during the disease course. Anemia, the most common type of …

[HTML][HTML] Semantic segmentation of conjunctiva region for non-invasive anemia detection applications

S Kasiviswanathan, T Bai Vijayan, L Simone… - Electronics, 2020 - mdpi.com
Technology is changing the future of healthcare, technology-supported non-invasive
medical procedures are more preferable in the medical diagnosis. Anemia is one of the …

Semantic segmentation of palpebral conjunctiva using predefined deep neural architectures for anemia detection

S Dhalla, J Maqbool, TS Mann, A Gupta, A Mittal… - Procedia Computer …, 2023 - Elsevier
Non-invasive detection of anemia is generally done by physical examination of regions like
palpebral conjunctiva, fingernails, tongue and palmar creases. However, such examination …

sHEMO: Smartphone spectroscopy for blood hemoglobin level monitoring in smart anemia-care

S Ghosal, D Das, V Udutalapally… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Anemia occurs due to low blood hemoglobin levels, and for its mass screening, both
invasive and smart anemia-care techniques are used. However, significant drawbacks …