Artificial intelligence applications in clinical chemistry

DR Bunch, TJS Durant… - Clinics in Laboratory …, 2023 - labmed.theclinics.com
Investigation of artificial intelligence (AI) applications in health care has accelerated rapidly
in recent years. Accordingly, there are also rapid advancements in this area applied to the …

Artificial intelligence in serum protein electrophoresis: history, state of the art, and perspective

H He, L Wang, X Wang, M Zhang - Critical Reviews in Clinical …, 2024 - Taylor & Francis
Serum protein electrophoresis (SPEP) is a valuable laboratory test that separates proteins
from the blood based on their electrical charge and size. The test can detect and analyze …

Expert-level immunofixation electrophoresis image recognition based on explainable and generalizable deep learning

H Hu, W Xu, T Jiang, Y Cheng, X Tao, W Liu… - Clinical …, 2023 - academic.oup.com
Background Immunofixation electrophoresis (IFE) is important for diagnosis of plasma cell
disorders (PCDs). Manual analysis of IFE images is time-consuming and potentially …

A Multi-task Method for Immunofixation Electrophoresis Image Classification

Y Shi, RX Li, WQ Shao, XC Duan, HJ Ye… - … Conference on Medical …, 2023 - Springer
In the field of plasma cell disorders diagnosis, the detection of abnormal monoclonal (M)
proteins through Immunofixation Electrophoresis (IFE) is a widely accepted practice …

Enhancing diagnostic accuracy of multiple myeloma through ML-driven analysis of hematological slides: new dataset and identification model to support …

CLB Andrade, MV Ferreira, BM Alencar, AMA Junior… - Scientific Reports, 2024 - nature.com
Multiple Myeloma (MM) is a hematological malignancy characterized by the clonal
proliferation of plasma cells within the bone marrow. Diagnosing MM presents considerable …

Segmentation and counting of multiple myeloma cells using IEMD based deep neural network

T Rasal, T Veerakumar, BN Subudhi, S Esakkirajan - Leukemia Research, 2022 - Elsevier
In biomedical image analysis, segmentation of cell nuclei from microscopic images is a
highly challenging research problem. In the computer-assisted health care system, the …

Deep Cascade-Learning Model via Recurrent Attention for Immunofixation Electrophoresis Image Analysis

X An, P Li, C Zhang - IEEE Transactions on Medical Imaging, 2023 - ieeexplore.ieee.org
Immunofixation Electrophoresis (IFE) analysis has been an indispensable prerequisite for
the diagnosis of M-protein, which is an important criterion to recognize diversified plasma …

Segmentation of gastric cancer from microscopic biopsy images using deep learning approach

T Rasal, T Veerakumar, BN Subudhi… - … Signal Processing and …, 2023 - Elsevier
In Computer vision for microscopy image analysis applications, object segmentation,
classification, and structure localization are essential processes for many biological …

CS3: Cascade SAM for Sperm Segmentation

Y Shi, XP Tian, YK Wang, TY Zhang, B Yao… - arXiv preprint arXiv …, 2024 - arxiv.org
Automated sperm morphology analysis plays a crucial role in the assessment of male
fertility, yet its efficacy is often compromised by the challenges in accurately segmenting …

Indicative Image Retrieval: Turning Blackbox Learning into Grey

X Zhang, Z Yang, H Tian, Q Li, X Wei - arXiv preprint arXiv:2201.11898, 2022 - arxiv.org
Deep learning became the game changer for image retrieval soon after it was introduced. It
promotes the feature extraction (by representation learning) as the core of image retrieval …