AIMC Journal:
Medical image analysis

Showing 171 to 180 of 684 articles

Deep learning based synthesis of MRI, CT and PET: Review and analysis.

Medical image analysis Dec 1, 2023
Medical image synthesis represents a critical area of research in clinical decision-making, aiming to overcome the challenges associated with acquiring multiple image modalities for an accurate clinical workflow. This approach proves beneficial in es...
Humans Tomography, X-Ray Computed Magnetic Resonance Imaging Positron-Emission Tomography Deep Learning Image Processing, Computer-Assisted
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Transformer with convolution and graph-node co-embedding: An accurate and interpretable vision backbone for predicting gene expressions from local histopathological image.

Medical image analysis Nov 20, 2023
Inferring gene expressions from histopathological images has long been a fascinating yet challenging task, primarily due to the substantial disparities between the two modality. Existing strategies using local or global features of histological image...
Neural Networks, Computer Phenotype Humans Image Processing, Computer-Assisted Gene Expression
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FiCRoN, a deep learning-based algorithm for the automatic determination of intracellular parasite burden from fluorescence microscopy images.

Medical image analysis Nov 19, 2023
Protozoan parasites are responsible for dramatic, neglected diseases. The automatic determination of intracellular parasite burden from fluorescence microscopy images is a challenging problem. Recent advances in deep learning are transforming this pr...
Algorithms Animals Deep Learning Image Processing, Computer-Assisted Parasites Humans Software Microscopy, Fluorescence
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DeepSSM: A blueprint for image-to-shape deep learning models.

Medical image analysis Nov 17, 2023
Statistical shape modeling (SSM) characterizes anatomical variations in a population of shapes generated from medical images. Statistical analysis of shapes requires consistent shape representation across samples in shape cohort. Establishing this re...
Image Processing, Computer-Assisted Models, Statistical Deep Learning Imaging, Three-Dimensional Humans
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ST-ITEF: Spatio-Temporal Intraoperative Task Estimating Framework to recognize surgical phase and predict instrument path based on multi-object tracking in keratoplasty.

Medical image analysis Nov 13, 2023
Computer-assisted cognition guidance for surgical robotics by computer vision is a potential future outcome, which could facilitate the surgery for both operation accuracy and autonomy level. In this paper, multiple-object segmentation and feature ex...
Surgical Instruments Corneal Transplantation Robotics Humans Image Processing, Computer-Assisted
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Prompt tuning for parameter-efficient medical image segmentation.

Medical image analysis Nov 7, 2023
Neural networks pre-trained on a self-supervision scheme have become the standard when operating in data rich environments with scarce annotations. As such, fine-tuning a model to a downstream task in a parameter-efficient but effective way, e.g. for...
Image Processing, Computer-Assisted Semantics Humans Neural Networks, Computer
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Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology.

Medical image analysis Nov 7, 2023
The escalating demand for artificial intelligence (AI) systems that can monitor and supervise human errors and abnormalities in healthcare presents unique challenges. Recent advances in vision-language models reveal the challenges of monitoring AI by...
Learning Artificial Intelligence Radiology Language Humans Radiography
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AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images.

Medical image analysis Nov 2, 2023
The survival analysis on histological whole-slide images (WSIs) is one of the most important means to estimate patient prognosis. Although many weakly-supervised deep learning models have been developed for gigapixel WSIs, their potential is generall...
Supervised Machine Learning Survival Analysis Humans
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Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning.

Medical image analysis Oct 10, 2023
Radiotherapy serves as a pivotal treatment modality for malignant tumors. However, the accuracy of radiotherapy is significantly compromised due to respiratory-induced fluctuations in the size, shape, and position of the tumor. To address this challe...
Deep Learning Cone-Beam Computed Tomography Tomography, X-Ray Computed Imaging, Three-Dimensional Humans Neoplasms X-Rays
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A statistical deformation model-based data augmentation method for volumetric medical image segmentation.

Medical image analysis Oct 7, 2023
The accurate delineation of organs-at-risk (OARs) is a crucial step in treatment planning during radiotherapy, as it minimizes the potential adverse effects of radiation on surrounding healthy organs. However, manual contouring of OARs in computed to...
Radiotherapy Planning, Computer-Assisted Artificial Intelligence Algorithms Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Neoplasms Neck
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