How artificial intelligence might disrupt diagnostics in hematology in the near future

W Walter, C Haferlach, N Nadarajah, I Schmidts… - Oncogene, 2021 - nature.com
Artificial intelligence (AI) is about to make itself indispensable in the health care sector.
Examples of successful applications or promising approaches range from the application of …

Clusterfomer: clustering as a universal visual learner

J Liang, Y Cui, Q Wang, T Geng… - Advances in neural …, 2024 - proceedings.neurips.cc
This paper presents ClusterFormer, a universal vision model that is based on the Clustering
paradigm with TransFormer. It comprises two novel designs: 1) recurrent cross-attention …

Hyperspectral pathology image classification using dimension-driven multi-path attention residual network

X Zhang, W Li, C Gao, Y Yang, K Chang - Expert Systems with Applications, 2023 - Elsevier
Hyperspectral imaging technology (HSI) can capture pathological tissue's spatial and
spectral information simultaneously, with wide coverage and high accuracy characteristics …

Traditional and deep‐based techniques for end‐to‐end automated karyoty**: A review

R Remani Sathyan, G Chandrasekhara Menon… - Expert …, 2022 - Wiley Online Library
In the field of cytogenetics, chromosome image analysis or karyoty** from metaphase
images plays an imperative role in the diagnosis, prognosis and treatment assessment of …

A local and global feature disentangled network: toward classification of benign-malignant thyroid nodules from ultrasound image

SX Zhao, Y Chen, KF Yang, Y Luo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Thyroid nodules are one of the most common nodular lesions. The incidence of thyroid
cancer has increased rapidly in the past three decades and is one of the cancers with the …

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 …

Automated system for chromosome karyoty** to recognize the most common numerical abnormalities using deep learning

MS Al-Kharraz, LA Elrefaei, MA Fadel - IEEE Access, 2020 - ieeexplore.ieee.org
Chromosome analysis is an essential task in a cytogenetics lab, where cytogeneticists can
diagnose whether there are abnormalities or not. Karyoty** is a standard technique in …

KaryoNet: Chromosome recognition with end-to-end combinatorial optimization network

C **a, J Wang, Y Qin, J Wen, Z Liu… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Chromosome recognition is a critical way to diagnose various hematological malignancies
and genetic diseases, which is however a repetitive and time-consuming process in …

SRAS‐net: Low‐resolution chromosome image classification based on deep learning

X Liu, L Fu, J Chun‐Wei Lin, S Liu - IET Systems Biology, 2022 - Wiley Online Library
Prenatal karyotype diagnosis is important to determine if the foetus has genetic diseases
and some congenital diseases. Chromosome classification is an important part of karyotype …

Chromosome analysis method based on deep learning: Counting chromosomes and detecting abnormal chromosomes

S Kang, J Han, I Lee, H Joo, Y Chung… - … Signal Processing and …, 2024 - Elsevier
Karyotype analysis is a cytogenetic test method that counts chromosomes and evaluates
their structural abnormalities. However, since the processes of counting chromosomes and …