Deep learning based hybrid ghost-net for metaspread chromosome image segmentation

K Kaur, R Dhir - Biomedical Signal Processing and Control, 2024 - Elsevier
Karyotyping is an important process in chromosome segmentation and classification to
identify defected chromosomes. In this paper, a novel deep learning based Hybrid ghost-Net …

Karyotyping of human chromosomes in metaphase images using faster R‐CNN and inception models

S Chavan, L Nair, N Nimbalkar… - International Journal of …, 2024 - Wiley Online Library
Karyotyping is the process of pairing and ordering human chromosomes from metaphase
chromosomal images depending on their size, centromere position, and banding patterns. It …

Detection of chromosomes in metaphase images using segmentation techniques

M Sharifmoghaddam, H Jazayeriy… - 2022 8th Iranian …, 2022 - ieeexplore.ieee.org
The process of identifying chromosomes in metaphase images is demanding and it takes a
lot of time. Thus, chromosome detection correctly in metaphase images is very important. It is …

Enhanced Karyotyping Through Deep Learning-Assisted Segmentation and Classification of Chromosomal Cells.

S Sekar, L Sankaran - Traitement du Signal, 2024 - search.ebscohost.com
The escalating prevalence of genetic disorders in humans underscores the criticality of early
detection. Current clinical methodologies, such as cellular activity assessment and …

[PDF][PDF] TEXTURE CLASSIFICATION IN PETROLEUM IMAGING THROUGH NOVEL EXTRACTION METHODS

J Liu, X Wang, H Chen, M Zhang, L Li, Z Yang - researchgate.net
Texture classification in petroleum imaging plays a crucial role in analyzing geological
formations. This paper presents a set of innovative extraction methods aimed at enhancing …