AIMC Topic: Supervised Machine Learning

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A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI.

Physics in medicine and biology Apr 22, 2025
Prostate lesion segmentation from multiparametric magnetic resonance images is particularly challenging due to the limited availability of labeled data. This scarcity of annotated images makes it difficult for supervised models to learn the complex f...
Humans Prostate Supervised Machine Learning Multimodal Imaging Image Processing, Computer-Assisted Prostatic Neoplasms Algorithms Magnetic Resonance Imaging Male
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scRSSL: Residual semi-supervised learning with deep generative models to automatically identify cell types.

IET systems biology Apr 22, 2025
Single-cell sequencing (scRNA-seq) allows researchers to study cellular heterogeneity in individual cells. In single-cell transcriptomics analysis, identifying the cell type of individual cells is a key task. At present, single-cell datasets often fa...
Computational Biology Deep Learning Humans Supervised Machine Learning Single-Cell Analysis Neural Networks, Computer
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Tailored self-supervised pretraining improves brain MRI diagnostic models.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 17, 2025
Self-supervised learning has shown potential in enhancing deep learning methods, yet its application in brain magnetic resonance imaging (MRI) analysis remains underexplored. This study seeks to leverage large-scale, unlabeled public brain MRI datase...
Supervised Machine Learning Image Interpretation, Computer-Assisted Deep Learning Magnetic Resonance Imaging Brain Brain Neoplasms Humans Algorithms
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A clinical benchmark of public self-supervised pathology foundation models.

Nature communications Apr 17, 2025
The use of self-supervised learning to train pathology foundation models has increased substantially in the past few years. Notably, several models trained on large quantities of clinical data have been made publicly available in recent months. This ...
Supervised Machine Learning Neoplasms Benchmarking Humans Algorithms
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Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 14, 2025
Radiographic imaging is a non-invasive technique of considerable importance for evaluating tumor treatment response. However, redundancy in CT data and the lack of labeled data make it challenging to accurately assess the response of locally advanced...
Humans Tomography, X-Ray Computed Female Male Rectal Neoplasms Chemoradiotherapy Deep Learning Neoadjuvant Therapy Treatment Outcome Supervised Machine Learning
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Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation.

Medical image analysis Apr 12, 2025
Despite their effectiveness, current deep learning models face challenges with images coming from different domains with varying appearance and content. We introduce SegCLR, a versatile framework designed to segment images across different domains, e...
Tomography, Optical Coherence Supervised Machine Learning Deep Learning Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Humans Algorithms
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Exploring unified cross-view hypergraph generation for multi-view semi-supervised classification.

Neural networks : the official journal of the International Neural Network Society Apr 11, 2025
Graph structure is widely used in the field of multi-view learning. Hypergraph which is a kind of extension of graph can capture the higher-order relationships of nodes in a better way. However, most existing hypergraph-based models are based on the ...
Supervised Machine Learning Neural Networks, Computer Algorithms Humans
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Semi-supervised temporal attention network for lung 4D CT ventilation estimation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 10, 2025
Computed tomography (CT)-derived ventilation estimation, also known as CT ventilation imaging (CTVI), is emerging as a potentially crucial tool for designing functional avoidance radiotherapy treatment plans and evaluating therapy responses. However,...
Lung Lung Neoplasms Humans Supervised Machine Learning Four-Dimensional Computed Tomography
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Safe and accelerated screening framework for support tensor machines.

Neural networks : the official journal of the International Neural Network Society Apr 9, 2025
Support Tensor Machines (STMs) constitute an effective supervised learning method for classifying high-dimensional tensor data. However, traditional iterative solving methods are often time-consuming. To effectively address the issue of lengthy train...
Humans Support Vector Machine Supervised Machine Learning Neural Networks, Computer Algorithms
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DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation.

Medical image analysis Apr 9, 2025
Accurate segmentation of pathology images plays a crucial role in digital pathology workflow. However, two significant issues exist with the present pathology image segmentation methods: (i) Most fully supervised models rely on dense pixel-level anno...
Image Processing, Computer-Assisted Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Algorithms
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