AIMC Topic: Image Processing, Computer-Assisted

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Image-based recognition of parasitoid wasps using advanced neural networks.

Invertebrate systematics
Hymenoptera has some of the highest diversity and number of individuals among insects. Many of these species potentially play key roles as food sources, pest controllers and pollinators. However, little is known about the diversity and biology and ~8...

A back propagation neural network based respiratory motion modelling method.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study presents the development of a backpropagation neural network-based respiratory motion modelling method (BP-RMM) for precisely tracking arbitrary points within lung tissue throughout free respiration, encompassing deep inspirati...

Hybrid machine learning-based breast cancer segmentation framework using ultrasound images with optimal weighted features.

Cell biochemistry and function
One of the most dangerous conditions in clinical practice is breast cancer because it affects the entire life of women in recent days. Nevertheless, the existing techniques for diagnosing breast cancer are complicated, expensive, and inaccurate. Many...

Transfer learning for anatomical structure segmentation in otorhinolaryngology microsurgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Reducing the annotation burden is an active and meaningful area of artificial intelligence (AI) research.

Artificial intelligence in histopathological image analysis of central nervous system tumours: A systematic review.

Neuropathology and applied neurobiology
The convergence of digital pathology and artificial intelligence could assist histopathology image analysis by providing tools for rapid, automated morphological analysis. This systematic review explores the use of artificial intelligence for histopa...

[Computer-vision-based artificial intelligence for detection and recognition of instruments and organs during radical laparoscopic gastrectomy for gastric cancer: a multicenter study].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer. Eight complete lapar...

Morphological profiling for drug discovery in the era of deep learning.

Briefings in bioinformatics
Morphological profiling is a valuable tool in phenotypic drug discovery. The advent of high-throughput automated imaging has enabled the capturing of a wide range of morphological features of cells or organisms in response to perturbations at the sin...

Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning.

Cell systems
Image-based spatial transcriptomics methods enable transcriptome-scale gene expression measurements with spatial information but require complex, manually tuned analysis pipelines. We present Polaris, an analysis pipeline for image-based spatial tran...

ATN-Res2Unet: an advanced deep learning network for the elimination of saturation artifacts in endoscopy optical coherence tomography.

Optics express
Endoscopic optical coherence tomography (OCT) possesses the capability to non-invasively image internal lumens; however, it is susceptible to saturation artifacts arising from robust reflective structures. In this study, we introduce an innovative de...