AIMC Topic: Image Processing, Computer-Assisted

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Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing.

Biotechnology and bioengineering
Cell therapies like Chimeric Antigen Receptor (CAR)-T cell therapy deliver living cells to patients as active pharmaceutical ingredients. Manufacturing of these cells is complex, often yielding, heterogeneous products and high failure rates. Quality ...

Identification of bacterial infection types in decomposition stages at various temperatures using pathology images and artificial intelligence algorithms.

Journal of microbiological methods
Bacterial infections present a significant threat to human health, and accurate identification of infection type is crucial for both clinical and forensic applications. Although traditional diagnostic methods are reliable, they are often time-consumi...

A segmentation network based on CNNs for identifying laryngeal structures in video laryngoscope images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Video laryngoscopes have become increasingly vital in tracheal intubation, providing clear imaging that significantly improves success rates, especially for less experienced clinicians. However, accurate recognition of laryngeal structures remains ch...

Evaluation of uncertainty estimation methods in medical image segmentation: Exploring the usage of uncertainty in clinical deployment.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Uncertainty estimation methods are essential for the application of artificial intelligence (AI) models in medical image segmentation, particularly in addressing reliability and feasibility challenges in clinical deployment. Despite their significanc...

A cell-interacting and multi-correcting method for automatic circulating tumor cells detection.

Artificial intelligence in medicine
Sensitive detection of circulating tumor cells (CTCs) from peripheral blood can serve as an effective tool in the early diagnosis and prognosis of cancer. Many methods based on modern object detectors were proposed in recent years for automatic abnor...

A deep learning model for accurate segmentation of the Drosophila melanogaster brain from Micro-CT imaging.

Developmental biology
The use of microcomputed tomography (Micro-CT) for imaging biological samples has burgeoned in the past decade, due to increased access to scanning platforms, ease of operation, and the advance of software platforms that enable accurate microstructur...

Decoding split-frequency representation for cross-scale tracking.

Neural networks : the official journal of the International Neural Network Society
Learning tailored target representations for tracking is a promising direction in visual object tracking. Most state-of-the-art methods utilize autoencoders to generate representations by reconstructing the target's appearance. However, these reconst...

Towards better text image machine translation with multimodal codebook and multi-stage training.

Neural networks : the official journal of the International Neural Network Society
As a widely-used machine translation task, text image machine translation (TIMT) aims to translate the source texts embedded in the image to target translations. However, studies in this aspect face two challenges: (1) constructed in a cascaded manne...

Dynamic Multi-scale Feature Integration Network for unsupervised MR-CT synthesis.

Neural networks : the official journal of the International Neural Network Society
Unsupervised MR-CT synthesis presents a significant opportunity to reduce radiation exposure from CT scans and lower costs by eliminating the need for both MR and CT imaging. However, many existing unsupervised methods face limitations in capturing d...

Enhancing image-based virtual try-on with Multi-Controlled Diffusion Models.

Neural networks : the official journal of the International Neural Network Society
Image-based virtual try-on technology digitally overlays clothing onto images of individuals, enabling users to preview how garments fit without physical trial, thus enhancing the online shopping experience. While current diffusion-based virtual try-...