Image-based method to quantify decellularization of tissue sections

M Narciso, J Otero, D Navajas, R Farré… - International journal of …, 2021 - mdpi.com
Tissue decellularization is typically assessed through absorbance-based DNA quantification
after tissue digestion. This method has several disadvantages, namely its destructive nature …

Pre-cancer risk assessment in habitual smokers from DIC images of oral exfoliative cells using active contour and SVM analysis

S Dey, R Sarkar, K Chatterjee, P Datta, A Barui… - Tissue and Cell, 2017 - Elsevier
Habitual smokers are known to be at higher risk for develo** oral cancer, which is
increasing at an alarming rate globally. Conventionally, oral cancer is associated with high …

Automated individualization of size-varying and touching neurons in macaque cerebral microscopic images

Z You, Y Balbastre, C Bouvier, AS Hérard… - Frontiers in …, 2019 - frontiersin.org
In biomedical research, cell analysis is important to assess physiological and
pathophysiological information. Virtual microscopy offers the unique possibility to study the …

Single molecule fluorescence microscopy and machine learning for rhesus D antigen classification

DM Borgmann, S Mayr, H Polin, S Schaller, V Dorfer… - Scientific Reports, 2016 - nature.com
In transfusion medicine, the identification of the Rhesus D type is important to prevent anti-D
immunisation in Rhesus D negative recipients. In particular, the detection of the very low …

Automated detection of early oral cancer trends in habitual smokers

S Dey, DN Tibarewala, SP Maity, A Barui - Soft Computing Based Medical …, 2018 - Elsevier
Oral cancer is one of the biggest health care burdens in the Indian subcontinent (40% of the
cancer risk). In most of the cases, it is evident that, like any other cancer, oral cancer is …

Robust Segmentation of Cell Nuclei in 3-D Microscopy Images

S Ram, JJ Rodriguez - arxiv preprint arxiv:2110.03193, 2021 - arxiv.org
Accurate segmentation of 3-D cell nuclei in microscopy images is essential for the study of
nuclear organization, gene expression, and cell morphodynamics. Current image …

The significance of Real-time, biomedical and satellite Image Processing in understanding the objects & application to Computer Vision

T Santha - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
The Computer Vision is a broader and hottest area of Digital Image Processing with lot of
past, ongoing and future research to accomplish the mission of providing visual sense to …