AIMC Topic: Supervised Machine Learning

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Efficient diagnosis of retinal disorders using dual-branch semi-supervised learning (DB-SSL): An enhanced multi-class classification approach.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 1, 2025
The early diagnosis of retinal disorders is essential in preventing permanent or partial blindness. Identifying these conditions promptly guarantees early treatment and prevents blindness. However, the challenge lies in accurately diagnosing these co...
Humans Supervised Machine Learning Image Interpretation, Computer-Assisted Retinal Diseases Neural Networks, Computer Fundus Oculi
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Semi-supervised learning-based identification of the attachment between sludge and microparticles in wastewater treatment.

Journal of environmental management Jan 31, 2025
Monitoring the microparticle transfer process in wastewater treatment systems is crucial for improving treatment performance. Supervised deep learning methods show high performance to automatically detect particles, but they rely on vast amounts of l...
Wastewater Sewage Supervised Machine Learning Waste Disposal, Fluid
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Self-supervised parametric map estimation for multiplexed PET with a deep image prior.

Physics in medicine and biology Jan 31, 2025
Multiplexed positron emission tomography (mPET) imaging allows simultaneous observation of physiological and pathological information from multiple tracers in a single PET scan. Although supervised deep learning has demonstrated superior performance ...
Supervised Machine Learning Positron-Emission Tomography Deep Learning Image Processing, Computer-Assisted Humans Brain
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Self-supervised 3D medical image segmentation by flow-guided mask propagation learning.

Medical image analysis Jan 30, 2025
Despite significant progress in 3D medical image segmentation using deep learning, manual annotation remains a labor-intensive bottleneck. Self-supervised mask propagation (SMP) methods have emerged to alleviate this challenge, allowing intra-volume ...
Magnetic Resonance Imaging Supervised Machine Learning Humans Deep Learning Algorithms Imaging, Three-Dimensional
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Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study.

BMC infectious diseases Jan 28, 2025
BACKGROUND: Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus ...
Genome, Viral Humans COVID-19 Female SARS-CoV-2 Male Middle Aged Aged, 80 and over Genomics Adult Supervised Machine Learning Hospitalization Severity of Illness Index Aged Retrospective Studies
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Towards automated recipe genre classification using semi-supervised learning.

PloS one Jan 28, 2025
Sharing cooking recipes is a great way to exchange culinary ideas and provide instructions for food preparation. However, categorizing raw recipes found online into appropriate food genres can be challenging due to a lack of adequate labeled data. In...
Deep Learning Supervised Machine Learning Humans Cooking Cookbooks as Topic
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SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification.

Computer methods and programs in biomedicine Jan 27, 2025
BACKGROUND AND OBJECTIVE: Pathology image classification is crucial in clinical cancer diagnosis and computer-aided diagnosis. Whole Slide Image (WSI) classification is often framed as a multiple instance learning (MIL) problem due to the high cost o...
Image Processing, Computer-Assisted Machine Learning Supervised Machine Learning Humans Neoplasms Algorithms Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted
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Semi-supervised Strong-Teacher Consistency Learning for few-shot cardiac MRI image segmentation.

Computer methods and programs in biomedicine Jan 27, 2025
BACKGROUND AND OBJECTIVE: Cardiovascular disease is a leading cause of mortality worldwide. Automated analysis of heart structures in MRI is crucial for effective diagnostics. While supervised learning has advanced the field of medical image segmenta...
Heart Machine Learning Supervised Machine Learning Algorithms Image Processing, Computer-Assisted Humans Cardiovascular Diseases Magnetic Resonance Imaging
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.

Scientific reports Jan 25, 2025
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and a...
Humans Neural Networks, Computer Algorithms Unsupervised Machine Learning Supervised Machine Learning Colonic Polyps Support Vector Machine Cluster Analysis Colorectal Neoplasms Colonoscopy
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Dynamic graph based weakly supervised deep hashing for whole slide image classification and retrieval.

Medical image analysis Jan 23, 2025
Recently, a multi-scale representation attention based deep multiple instance learning method has proposed to directly extract patch-level image features from gigapixel whole slide images (WSIs), and achieved promising performance on multiple popular...
Humans Image Processing, Computer-Assisted Supervised Machine Learning Image Interpretation, Computer-Assisted Algorithms Deep Learning
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