Results 151 to 160 of about 79,106 (281)

Differentiating solar lentigines from post‐inflammatory hyperpigmentation with hyperspectral imaging: A pilot study

International Journal of Cosmetic Science, EarlyView.
This preliminary study attempted to characterize solar lentigines and post‐inflammatory hyperpigmentation (PIH) observed on Japanese women. Colorimetric features and chromophore concentrations were measured using hyperspectral imaging for each hyperpigmentation type.
Victor Egana, Carl Blaksley, Ayako Itaya, Mai Edagawa, Alexandre Nicolas   +4 more
wiley   +1 more source

Hyperspectral Imaging for the Classification and Analysis of Drusen in Age-Related Macular Degeneration. [PDF]

Invest Ophthalmol Vis Sci
Chen C, Razavi R, Romano F, Niessen H, Sabokrohiyeh S, Konda A, Chevrefils C, Arbour JD, Rhéaume MA, Nissan R, Rojewski A, Sorya P, Santucci L, Campbell S, Ploumi I, Zhu Y, Ding X, Sylvestre JP, Miller JB, Nassar K.   +19 more
europepmc   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

Decoding stress resilience in soybean: Regulatory networks and precision breeding under climate change

Journal of Integrative Plant Biology, EarlyView.
This review covers recent progress in the understanding of stress‐responsive regulatory networks in soybean and highlights emerging genomic and breeding strategies. Integrating molecular insights and precision breeding will help to accelerate the development of climate‐resilient soybean cultivars.
Ali Shahzad, Monan Sun, Shuangkang Pei, Xiaoyu Liu, Yinhe Zhang, Keheng Xu, Hongtao Gao, Yonggang Zhou, Haiyan Li   +8 more
wiley   +1 more source

HMI-LUSC: A Histological Hyperspectral Imaging Dataset for Lung Squamous Cell Carcinoma. [PDF]

Sci Data
Yan Z, Huang H, Guo Y, Shi J, Geng R, Zhang J, Chen Y, Nie Y.   +7 more
europepmc   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Omnidirectional hyperspectral imaging

, 2020
Hiperspektral görüntüleme sistemleri elektromanyetik tayfın ilgili bölgelerinde sık aralıklarla çok sayıda bant üzerinden veri toplayarak görüntülenecek sahne hakkında zengin bir spektral içerik sunar. Uzaktan algılama uygulamalarında, görüntülenecek sahneye göre uzamsal çözünürlüğün yetersiz kalması spektral karışım problemine yol açar.
openaire   +1 more source

When biology meets materials science – Interdisciplinary applications of electron microscopy

Journal of Microscopy, EarlyView.
Abstract Research at the interface between biology and materials science creates challenges for electron microscopists. Everything from the sample preparation to the choice of imaging and analytical techniques and the interpretation of the resulting data refuses to sit comfortably within the domain of one discipline or the other.
Martin Saunders, Peta L. Clode, Enoch V. S. Wong, Anna‐Lee Jessop, Gerd E. Shröder‐Turk, Felix de Tombeur   +5 more
wiley   +1 more source

Hyperspectral Imaging for Identifying Foreign Objects on Pork Belly. [PDF]

Sensors (Basel)
Ghimpeteanu G, Rajani H, Quintana J, Garcia R.   +3 more
europepmc   +1 more source

Imaging Lidar Simulator Interface, NERC-CEOI : Hyperspectral Imaging Lidar (LADAR) [PDF]

, 2008
Muller, J, Yuen, PC
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