Cir-net: Automatic classification of human chromosome based on inception-resnet architecture

C Lin, G Zhao, Z Yang, A Yin, X Wang… - IEEE/ACM …, 2020‏ - ieeexplore.ieee.org
Background: In medicine, karyoty** chromosomes is important for medical diagnostics,
drug development, and biomedical research. Unfortunately, chromosome karyoty** is …

Image segmentation to distinguish between overlap** human chromosomes

RL Hu, J Karnowski, R Fadely, JP Pommier - ar** is a study of chromosomes to identify various chromosomal aberrations related
to structure and number. Chromosome image analysis involves challenging issues related …

[HTML][HTML] Chromosome classification via deep learning and its application to patients with structural abnormalities of chromosomes

C Yang, T Li, Q Dong, Y Zhao - Medical Engineering & Physics, 2023‏ - Elsevier
Background and objective Karyoty** is an important technique in cytogenetic practice for
the early diagnosis of genetic diseases. Clinical karyoty** is tedious, time-consuming, and …

ARMS Net: Overlap** chromosome segmentation based on Adaptive Receptive field Multi-Scale network

G Wang, H Liu, X Yi, J Zhou, L Zhang - Biomedical Signal Processing and …, 2021‏ - Elsevier
Karyotype analysis has become the crux for diagnosis of genetic diseases, which requires
automatic precise identification of quantitative and structural abnormalities. Thus …

[PDF][PDF] A novel approach for segmentation of human metaphase chromosome images using region based active contours.

T Arora, R Dhir - Int. Arab J. Inf. Technol., 2019‏ - ccis2k.org
The chromosomes are the genetic information carries. A healthy human being has 46
chromosomes. Any alteration in either the number of chromosomes or the structure of …

Classification of analyzable metaphase images using transfer learning and fine tuning

A Albayrak - Medical & Biological Engineering & Computing, 2022‏ - Springer
Chromosomes are bodies that contain human genetic information. Chromosomal disorders
can cause structural and functional disorders in individuals. Detecting the metaphase stages …

An automatic progressive chromosome segmentation approach using deep learning with traditional image processing

L Chang, K Wu, H Cheng, C Gu, Y Zhao… - Medical & Biological …, 2024‏ - Springer
The fully automatic chromosome analysis system plays an important role in the detection of
genetic diseases, which in turn can reduce the diagnosis burden for cytogenetic experts …